Podcast appearances and mentions of mega ran

Today's clip is from episode 132 of the podcast, with Tom Griffiths.Tom and Alex Andorra discuss the fundamental differences between human intelligence and artificial intelligence, emphasizing the constraints that shape human cognition, such as limited data, computational resources, and communication bandwidth. They explore how AI systems currently learn and the potential for aligning AI with human cognitive processes. The discussion also delves into the implications of AI in enhancing human decision-making and the importance of understanding human biases to create more effective AI systems.Get the full discussion here.Intro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)TranscriptThis is an automatic transcript and may therefore contain errors. Please get in touch if you're willing to correct them.

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Check out Hugo's latest episode with Fei-Fei Li, on How Human-Centered AI Actually Gets BuiltIntro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:Computational cognitive science seeks to understand intelligence mathematically.Bayesian statistics is crucial for understanding human cognition.Inductive biases help explain how humans learn from limited data.Eliciting prior distributions can reveal implicit beliefs.The wisdom of individuals can provide richer insights than averaging group responses.Generative AI can mimic human cognitive processes.Human intelligence is shaped by constraints of data, computation, and communication.AI systems operate under different constraints than human cognition. Human intelligence differs fundamentally from machine intelligence.Generative AI can complement and enhance human learning.AI systems currently lack intrinsic human compatibility.Language training in AI helps align its understanding with human perspectives.Reinforcement learning from human feedback can lead to misalignment of AI goals.Representational alignment can improve AI's understanding of human concepts.AI can help humans make better decisions by providing relevant information.Research should focus on solving problems rather than just methods.Chapters:00:00 Understanding Computational Cognitive Science13:52 Bayesian Models and Human Cognition29:50 Eliciting Implicit Prior Distributions38:07 The Relationship Between Human and AI Intelligence45:15 Aligning Human and Machine Preferences50:26 Innovations in AI and Human Interaction55:35 Resource Rationality in Decision Making01:00:07 Language Learning in AI Models

Today's clip is from episode 131 of the podcast, with Luke Bornn.Luke and Alex discuss the application of generative models in sports analytics. They emphasize the importance of Bayesian modeling to account for uncertainty and contextual variations in player data. The discussion also covers the challenges of balancing model complexity with computational efficiency, the innovative ways to hack Bayesian models for improved performance, and the significance of understanding model fitting and discretization in statistical modeling.Get the full discussion here.Intro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)TranscriptThis is an automatic transcript and may therefore contain errors. Please get in touch if you're willing to correct them.

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Intro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Thank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin Caprani, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Michael Hankin, Cameron Smith, Tomáš Frýda, Ryan Wesslen, Andreas Netti, Riley King, Yoshiyuki Hamajima, Sven De Maeyer, Michael DeCrescenzo, Fergal M, Mason Yahr, Naoya Kanai, Steven Rowland, Aubrey Clayton, Jeannine Sue, Omri Har Shemesh, Scott Anthony Robson, Robert Yolken, Or Duek, Pavel Dusek, Paul Cox, Andreas Kröpelin, Raphaël R, Nicolas Rode, Gabriel Stechschulte, Arkady, Kurt TeKolste, Gergely Juhasz, Marcus Nölke, Maggi Mackintosh, Grant Pezzolesi, Avram Aelony, Joshua Meehl, Javier Sabio, Kristian Higgins, Alex Jones, Gregorio Aguilar, Matt Rosinski, Bart Trudeau, Luis Fonseca, Dante Gates, Matt Niccolls, Maksim Kuznecov, Michael Thomas, Luke Gorrie, Cory Kiser, Julio, Edvin Saveljev, Frederick Ayala, Jeffrey Powell, Gal Kampel, Adan Romero, Will Geary, Blake Walters, Jonathan Morgan, Francesco Madrisotti, Ivy Huang, Gary Clarke, Robert Flannery, Rasmus Hindström, Stefan, Corey Abshire, Mike Loncaric, David McCormick, Ronald Legere, Sergio Dolia, Michael Cao, Yiğit Aşık and Suyog Chandramouli.Takeaways:Player tracking data revolutionized sports analytics.Decision-making in sports involves managing uncertainty and budget constraints.Luke emphasizes the importance of portfolio optimization in team management.Clubs with high budgets can afford inefficiencies in player acquisition.Statistical methods provide a probabilistic approach to player value.Removing human bias is crucial in sports decision-making.Understanding player performance distributions aids in contract decisions.The goal is to maximize performance value per dollar spent.Model validation in sports requires focusing on edge cases.

Mania SZN is finally over, and the @BrokenPencilBC (@Suave4Mayor x @DanjahOne) keeps you up-to-date with the most fitting recap of last weekend's event. Also on deck: everyone's favorite Unc gets caught dabbling in public—again, Mega Ran gets a surprise pop-up, LaGreca doesn't like what he saw and tells the world his true feelings, a Hip-Hop homework assignment, and tons more. Check your preferred streaming home & set a reminder. Like. Rate. Share. Most importantly, Subscribe for auto-delivery. https://pods.link/brokenpencilbc Available on all streaming platforms. #BrokenPencilLogic #YouCantWriteThis #PriceJustWentUp #MarkMyWords #FTCF #WCW #WWE #NXT #AEW #ROH #ImpactWrestling #NJPW #NWA #Podcast #NowStreaming #ApplePodcasts #Spotify #Pandora #TuneIn #prowrestling #VidaHermosaCigars #CerwinVega

Today's clip is from episode 130 of the podcast, with epidemiological modeler Adam Kucharski.This conversation explores the critical role of patient modeling during the COVID-19 pandemic, highlighting how these models informed public health decisions and the relationship between modeling and policy. The discussion emphasizes the need for improved communication and understanding of data among the public and policymakers.Get the full discussion at https://learnbayesstats.com/episode/129-bayesian-deep-learning-ai-for-science-vincent-fortuinIntro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)TranscriptThis is an automatic transcript and may therefore contain errors. Please get in touch if you're willing to correct them.

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Intro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Thank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin Caprani, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Michael Hankin, Cameron Smith, Tomáš Frýda, Ryan Wesslen, Andreas Netti, Riley King, Yoshiyuki Hamajima, Sven De Maeyer, Michael DeCrescenzo, Fergal M, Mason Yahr, Naoya Kanai, Steven Rowland, Aubrey Clayton, Jeannine Sue, Omri Har Shemesh, Scott Anthony Robson, Robert Yolken, Or Duek, Pavel Dusek, Paul Cox, Andreas Kröpelin, Raphaël R, Nicolas Rode, Gabriel Stechschulte, Arkady, Kurt TeKolste, Gergely Juhasz, Marcus Nölke, Maggi Mackintosh, Grant Pezzolesi, Avram Aelony, Joshua Meehl, Javier Sabio, Kristian Higgins, Alex Jones, Gregorio Aguilar, Matt Rosinski, Bart Trudeau, Luis Fonseca, Dante Gates, Matt Niccolls, Maksim Kuznecov, Michael Thomas, Luke Gorrie, Cory Kiser, Julio, Edvin Saveljev, Frederick Ayala, Jeffrey Powell, Gal Kampel, Adan Romero, Will Geary, Blake Walters, Jonathan Morgan, Francesco Madrisotti, Ivy Huang, Gary Clarke, Robert Flannery, Rasmus Hindström, Stefan, Corey Abshire, Mike Loncaric, David McCormick, Ronald Legere, Sergio Dolia, Michael Cao, Yiğit Aşık and Suyog Chandramouli.Takeaways:Epidemiology requires a blend of mathematical and statistical understanding.Models are essential for informing public health decisions during epidemics.The COVID-19 pandemic highlighted the importance of rapid modeling.Misconceptions about data can lead to misunderstandings in public health.Effective communication is crucial for conveying complex epidemiological concepts.Epidemic thinking can be applied to various fields, including marketing and finance.Public health policies should be informed by robust modeling and data analysis.Automation can help streamline data analysis in epidemic response.Understanding the limitations of models...

Today's clip is from episode 129 of the podcast, with AI expert and researcher Vincent Fortuin.This conversation delves into the intricacies of Bayesian deep learning, contrasting it with traditional deep learning and exploring its applications and challenges.Get the full discussion at https://learnbayesstats.com/episode/129-bayesian-deep-learning-ai-for-science-vincent-fortuinIntro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)TranscriptThis is an automatic transcript and may therefore contain errors. Please get in touch if you're willing to correct them.

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Intro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:The hype around AI in science often fails to deliver practical results.Bayesian deep learning combines the strengths of deep learning and Bayesian statistics.Fine-tuning LLMs with Bayesian methods improves prediction calibration.There is no single dominant library for Bayesian deep learning yet.Real-world applications of Bayesian deep learning exist in various fields.Prior knowledge is crucial for the effectiveness of Bayesian deep learning.Data efficiency in AI can be enhanced by incorporating prior knowledge.Generative AI and Bayesian deep learning can inform each other.The complexity of a problem influences the choice between Bayesian and traditional deep learning.Meta-learning enhances the efficiency of Bayesian models.PAC-Bayesian theory merges Bayesian and frequentist ideas.Laplace inference offers a cost-effective approximation.Subspace inference can optimize parameter efficiency.Bayesian deep learning is crucial for reliable predictions.Effective communication of uncertainty is essential.Realistic benchmarks are needed for Bayesian methodsCollaboration and communication in the AI community are vital.Chapters:00:00 Introduction to Bayesian Deep Learning04:24 Vincent Fortuin's Journey to Bayesian Deep Learning11:52 Understanding Bayesian Deep Learning16:29 Current Landscape of Bayesian Libraries21:11 Real-World Applications of Bayesian Deep Learning23:33 When to Use Bayesian Deep Learning28:22 Data Efficiency in AI and Generative Modeling30:18 Integrating Bayesian Knowledge into Generative Models31:44 The Role of Meta-Learning in Bayesian Deep Learning34:06 Understanding Pack Bayesian Theory37:55 Algorithms for Bayesian Deep Learning Models

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Intro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:Matt emphasizes the importance of Bayesian statistics in scenarios with limited data.Communicating insights to coaches is a crucial skill for data analysts.Building a data team requires understanding the needs of the coaching staff.Player recruitment is a significant focus in football analytics.The integration of data science in sports is still evolving.Effective data modeling must consider the practical application in games.Collaboration between data analysts and coaches enhances decision-making.Having a robust data infrastructure is essential for efficient analysis.The landscape of sports analytics is becoming increasingly competitive. Player recruitment involves analyzing various data models.Biases in traditional football statistics can skew player evaluations.Statistical techniques should leverage the structure of football data.Tracking data opens new avenues for understanding player movements.The role of data analysis in football will continue to grow.Aspiring analysts should focus on curiosity and practical experience.Chapters:00:00 Introduction to Football Analytics and Matt's Journey04:54 The Role of Bayesian Methods in Football10:20 Challenges in Communicating Data Insights17:03 Building Relationships with Coaches22:09 The Structure of the Data Team at Como26:18 Focus on Player Recruitment and Transfer Strategies28:48 January Transfer Window Insights30:54 Biases in Football Data Analysis34:11 Comparative Analysis of Men's and Women's Football36:55 Statistical Techniques in Football Analysis42:48 The Impact of Tracking Data on Football Analysis45:49 The Future of Data-Driven Football Strategies47:27 Advice for Aspiring Football Analysts

Full show: https://kNOwBETTERHIPHOP.com Artist Played: Okito, Aahmean, Mozaic, conshus, Mega Ran, O-Super, EyeQ, Silas Short, TOKiMONSTA, Mez, Hyldon, Adrian Younge, oreglo, Cautious Clay, DJ Ess, De La Soul, Butcher Brown, Phonte, Devin Morrison, Vvslegend, Billionaire Boyscout, Serebii, Crafty 893, Dave Dar, Kannon Salim Dar, MC Wicks, Planet Asia, Equipto, Archltect, spill tab, Amerigo Gazaway, Cavendish Archive, Slick Rick, OutKast, GOODie MOb, IMAKEMADBEATS

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Intro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Thank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin Caprani, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Michael Hankin, Cameron Smith, Tomáš Frýda, Ryan Wesslen, Andreas Netti, Riley King, Yoshiyuki Hamajima, Sven De Maeyer, Michael DeCrescenzo, Fergal M, Mason Yahr, Naoya Kanai, Steven Rowland, Aubrey Clayton, Jeannine Sue, Omri Har Shemesh, Scott Anthony Robson, Robert Yolken, Or Duek, Pavel Dusek, Paul Cox, Andreas Kröpelin, Raphaël R, Nicolas Rode, Gabriel Stechschulte, Arkady, Kurt TeKolste, Gergely Juhasz, Marcus Nölke, Maggi Mackintosh, Grant Pezzolesi, Avram Aelony, Joshua Meehl, Javier Sabio, Kristian Higgins, Alex Jones, Gregorio Aguilar, Matt Rosinski, Bart Trudeau, Luis Fonseca, Dante Gates, Matt Niccolls, Maksim Kuznecov, Michael Thomas, Luke Gorrie, Cory Kiser, Julio, Edvin Saveljev, Frederick Ayala, Jeffrey Powell, Gal Kampel, Adan Romero, Will Geary, Blake Walters, Jonathan Morgan, Francesco Madrisotti, Ivy Huang, Gary Clarke, Robert Flannery, Rasmus Hindström, Stefan, Corey Abshire, Mike Loncaric, David McCormick, Ronald Legere, Sergio Dolia and Michael Cao.Takeaways:Sharks play a crucial role in maintaining healthy ocean ecosystems.Bayesian statistics are particularly useful in data-poor environments like ecology.Teaching Bayesian statistics requires a shift in mindset from traditional statistical methods.The shark meat trade is significant and often overlooked.Ray meat trade is as large as shark meat trade, with specific markets dominating.Understanding the ecological roles of species is essential for effective conservation.Causal language is important in ecological research and should be encouraged.Evidence-driven decision-making is crucial in balancing human and ecological needs.Expert opinions are...

In our second-ever crossover episode with X-Pod '97, Mega Ran and Marcos join Christian Bladt, Eric Conner (briefly) and Jonathan London (even briefer) as they look back at the entire first season of Your Friendly Neighborhood Spider-Man on Disney+. Learn more about your ad choices. Visit megaphone.fm/adchoices

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Intro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:Marketing analytics is crucial for understanding customer behavior.PyMC Marketing offers tools for customer lifetime value analysis.Media mix modeling helps allocate marketing spend effectively.Customer Lifetime Value (CLV) models are essential for understanding long-term customer behavior.Productionizing models is essential for real-world applications.Productionizing models involves challenges like model artifact storage and version control.MLflow integration enhances model tracking and management.The open-source community fosters collaboration and innovation.Understanding time series is vital in marketing analytics.Continuous learning is key in the evolving field of data science.Chapters:00:00 Introduction to Will Dean and His Work10:48 Diving into PyMC Marketing17:10 Understanding Media Mix Modeling25:54 Challenges in Productionizing Models35:27 Exploring Customer Lifetime Value Models44:10 Learning and Development in Data ScienceThank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin Caprani, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Michael Hankin, Cameron Smith, Tomáš Frýda, Ryan Wesslen, Andreas Netti, Riley King, Yoshiyuki Hamajima, Sven De Maeyer, Michael DeCrescenzo, Fergal M, Mason Yahr, Naoya Kanai, Steven Rowland, Aubrey Clayton, Jeannine Sue, Omri Har Shemesh, Scott Anthony Robson, Robert Yolken, Or Duek, Pavel Dusek, Paul Cox, Andreas Kröpelin, Raphaël R, Nicolas Rode, Gabriel Stechschulte, Arkady, Kurt TeKolste, Gergely Juhasz,...

Tonight we have the return of our guy Mega Ran we will talk to him about his latest song being the new theme for WWE's The New Day and what happened at the Raw on netflix premiere , we also will talk being at the Grammy's and his latest project Buddy's Magic Tree House ! Plus you know we have to chime in on the Royal Rumble ! What's Next for Jey Uso ? What is CM Punk's favo and how will it play out ? Cory will also b talkin som UFC 312 and we will talk @ Piece Promotions where Cory and Kyle will be live on Commentary. ! get great clips of your content using OPUS CLIP ! CHECK OUT OUR CODE https://www.opus.pro/?via=Ko3C

Tonight we have the return of our guy Mega Ran we will talk to him about his latest song being the new theme for WWE's The New Day and what happened at the Raw on netflix premiere , we also will talk being at the Grammy's and his latest project Buddy's Magic Tree House!Plus you know we have to chime in on the Royal Rumble ! What's Next for Jey Uso ? What is CM Punk's favor and how will it play out? Cory will also be talkin som UFC 312 and we will talk @ Piece Promotions where Cory and Kyle will be live on Commentary! #TheNewDay #NewDay #WWE #WWERaw #SmackDown #MegaRan #RawonNetflix #WWEonNetflix #RoyalRumble #Grammys

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Intro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Thank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin Caprani, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Michael Hankin, Cameron Smith, Tomáš Frýda, Ryan Wesslen, Andreas Netti, Riley King, Yoshiyuki Hamajima, Sven De Maeyer, Michael DeCrescenzo, Fergal M, Mason Yahr, Naoya Kanai, Steven Rowland, Aubrey Clayton, Jeannine Sue, Omri Har Shemesh, Scott Anthony Robson, Robert Yolken, Or Duek, Pavel Dusek, Paul Cox, Andreas Kröpelin, Raphaël R, Nicolas Rode, Gabriel Stechschulte, Arkady, Kurt TeKolste, Gergely Juhasz, Marcus Nölke, Maggi Mackintosh, Grant Pezzolesi, Avram Aelony, Joshua Meehl, Javier Sabio, Kristian Higgins, Alex Jones, Gregorio Aguilar, Matt Rosinski, Bart Trudeau, Luis Fonseca, Dante Gates, Matt Niccolls, Maksim Kuznecov, Michael Thomas, Luke Gorrie, Cory Kiser, Julio, Edvin Saveljev, Frederick Ayala, Jeffrey Powell, Gal Kampel, Adan Romero, Will Geary, Blake Walters, Jonathan Morgan, Francesco Madrisotti, Ivy Huang, Gary Clarke, Robert Flannery, Rasmus Hindström, Stefan, Corey Abshire and Mike Loncaric.Takeaways:The evolution of sports modeling is tied to the availability of high-frequency data.Bayesian methods are valuable in handling messy, hierarchical data.Communication between data scientists and decision-makers is crucial for effective model use.Models are often wrong, and learning from mistakes is part of the process.Simplicity in models can sometimes yield better results than complexity.The integration of analytics in sports is still developing, with opportunities in various sports.Transparency in research and development teams enhances decision-making.Understanding uncertainty in models is essential for informed decisions.The balance between point estimates and full distributions is a...

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meOur theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:Bayesian statistics offers a robust framework for econometric modeling.State space models provide a comprehensive way to understand time series data.Gaussian random walks serve as a foundational model in time series analysis.Innovations represent external shocks that can significantly impact forecasts.Understanding the assumptions behind models is key to effective forecasting.Complex models are not always better; simplicity can be powerful.Forecasting requires careful consideration of potential disruptions. Understanding observed and hidden states is crucial in modeling.Latent abilities can be modeled as Gaussian random walks.State space models can be highly flexible and diverse.Composability allows for the integration of different model components.Trends in time series should reflect real-world dynamics.Seasonality can be captured through Fourier bases.AR components help model residuals in time series data.Exogenous regression components can enhance state space models.Causal analysis in time series often involves interventions and counterfactuals.Time-varying regression allows for dynamic relationships between variables.Kalman filters were originally developed for tracking rockets in space.The Kalman filter iteratively updates beliefs based on new data.Missing data can be treated as hidden states in the Kalman filter framework.The Kalman filter is a practical application of Bayes' theorem in a sequential context.Understanding the dynamics of systems is crucial for effective modeling.The state space module in PyMC simplifies complex time series modeling tasks.Chapters:00:00 Introduction to Jesse Krabowski and Time Series Analysis04:33 Jesse's Journey into Bayesian Statistics10:51 Exploring State Space Models18:28 Understanding State Space Models and Their Components

https://spinitron.com/WSFM/pl/20094601/Radio-Active-Kids

TEACHER,RAPPER,HERO,DAD and so much more. From being a geek to getting in the Guinness Book of World Records...Mega Ran has been on a journey. We talk comics, wrestling, nerdcore, his latest Kickstarter and so much more. Oh and the song at the beginning of the show....yeah that's his too. From WWE to a second kids music album, this man has taken skills from different stages in his life and used those skills to take on new challenges. Come join the conversation and learn about this awesome gentleman. The Kickstarter: https://www.kickstarter.com/projects/megaran/mega-rans-new-kids-album-for-2025-buddys-back?ref=backertracker&utm_medium=web&utm_source=backerkit The website:https://megaran.com/ The Spotify Link for "It Must Be" https://open.spotify.com/album/5xeZ1JFu61D5ATmDd8riEh?si=TXnjZt3hT4qwsxYWsQOtzQ

Send us a textPlease Like and Subscribe to my YouTube Channel for more Great Guests and Contentwww.youtube.com/@thedanlevelyshow/streamsBag of Tricks Cat is an underground rapper based in Glendale, Arizona. His artistic persona reflects a non-gimmicky approach to hip-hop, emphasizing authenticity and creativity over commercial appeal. He has built a reputation for his unique style and lyrical content, which often resonates with fans looking for substance in music.Bag of Tricks Cat has collaborated with various artists across the hip-hop spectrum, including notable figures such as Mega Ran from Philadelphia, D12 from Detroit, ASTRAY from Saginaw, MI, Whitney Peyton, WILLY NORTHPOLE from Arizona and Smoke DZA from New York. These collaborations highlight his versatility and ability to blend different styles within the genre. He has also performed internationally, showcasing his music beyond local venues.Follow "The Dan Levely Show" onFacebook: http://www.facebook.com/thedanlevelyshow -Instagram: http://www.instagram.com/thedanlevelyshow -YouTube: http://www.youtube.com/@thedanlevelyshow/streams -Twitter: http://www.twitter.com/danlevelyshow*THE VIEWS, OPINIONS, OR COMMENTS EXPRESSED ON "THE DAN LEVELY SHOW" BY ANY GUEST BEING INTERVIEWED ARE THOSE OF THE GUEST AND DO NOT REFLECT OR REPRESENT THE VIEWS AND OPINIONS HELD BY "THE DAN LEVELY SHOW"*Support the show

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meOur theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:BART models are non-parametric Bayesian models that approximate functions by summing trees.BART is recommended for quick modeling without extensive domain knowledge.PyMC-BART allows mixing BART models with various likelihoods and other models.Variable importance can be easily interpreted using BART models.PreliZ aims to provide better tools for prior elicitation in Bayesian statistics.The integration of BART with Bambi could enhance exploratory modeling.Teaching Bayesian statistics involves practical problem-solving approaches.Future developments in PyMC-BART include significant speed improvements.Prior predictive distributions can aid in understanding model behavior.Interactive learning tools can enhance understanding of statistical concepts.Integrating PreliZ with PyMC improves workflow transparency.Arviz 1.0 is being completely rewritten for better usability.Prior elicitation is crucial in Bayesian modeling.Point intervals and forest plots are effective for visualizing complex data.Chapters:00:00 Introduction to Osvaldo Martin and Bayesian Statistics08:12 Exploring Bayesian Additive Regression Trees (BART)18:45 Prior Elicitation and the PreliZ Package29:56 Teaching Bayesian Statistics and Future Directions45:59 Exploring Prior Predictive Distributions52:08 Interactive Modeling with PreliZ54:06 The Evolution of ArviZ01:01:23 Advancements in ArviZ 1.001:06:20 Educational Initiatives in Bayesian Statistics01:12:33 The Future of Bayesian MethodsThank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin...

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meOur theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:Effective data science education requires feedback and rapid iteration.Building LLM applications presents unique challenges and opportunities.The software development lifecycle for AI differs from traditional methods.Collaboration between data scientists and software engineers is crucial.Hugo's new course focuses on practical applications of LLMs.Continuous learning is essential in the fast-evolving tech landscape.Engaging learners through practical exercises enhances education.POC purgatory refers to the challenges faced in deploying LLM-powered software.Focusing on first principles can help overcome integration issues in AI.Aspiring data scientists should prioritize problem-solving over specific tools.Engagement with different parts of an organization is crucial for data scientists.Quick paths to value generation can help gain buy-in for data projects.Multimodal models are an exciting trend in AI development.Probabilistic programming has potential for future growth in data science.Continuous learning and curiosity are vital in the evolving field of data science.Chapters:09:13 Hugo's Journey in Data Science and Education14:57 The Appeal of Bayesian Statistics19:36 Learning and Teaching in Data Science24:53 Key Ingredients for Effective Data Science Education28:44 Podcasting Journey and Insights36:10 Building LLM Applications: Course Overview42:08 Navigating the Software Development Lifecycle48:06 Overcoming Proof of Concept Purgatory55:35 Guidance for Aspiring Data Scientists01:03:25 Exciting Trends in Data Science and AI01:10:51 Balancing Multiple Roles in Data Science01:15:23 Envisioning Accessible Data Science for AllThank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meOur theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:CFA is commonly used in psychometrics to validate theoretical constructs.Theoretical structure is crucial in confirmatory factor analysis.Bayesian approaches offer flexibility in modeling complex relationships.Model validation involves both global and local fit measures.Sensitivity analysis is vital in Bayesian modeling to avoid skewed results.Complex models should be justified by their ability to answer specific questions.The choice of model complexity should balance fit and theoretical relevance. Fitting models to real data builds confidence in their validity.Divergences in model fitting indicate potential issues with model specification.Factor analysis can help clarify causal relationships between variables.Survey data is a valuable resource for understanding complex phenomena.Philosophical training enhances logical reasoning in data science.Causal inference is increasingly recognized in industry applications.Effective communication is essential for data scientists.Understanding confounding is crucial for accurate modeling.Chapters:10:11 Understanding Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA)20:11 Application of SEM and CFA in HR Analytics30:10 Challenges and Advantages of Bayesian Approaches in SEM and CFA33:58 Evaluating Bayesian Models39:50 Challenges in Model Building44:15 Causal Relationships in SEM and CFA49:01 Practical Applications of SEM and CFA51:47 Influence of Philosophy on Data Science54:51 Designing Models with Confounding in Mind57:39 Future Trends in Causal Inference01:00:03 Advice for Aspiring Data Scientists01:02:48 Future Research DirectionsThank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy,

Tony, Kelsey, and special guest ‪Mega Ran sat down for a live show at Thunderbird Lounge in Phoenix, AZ to celebrate Tony's birthday by talking about aliens in the ocean, conspiracy theories at Disney, and taking on a Horror Hot Sauce Trivia Challenge that ends badly for one of the contestants. Scaredycast is presented by Evil Izzy's Haunted Emporium in Phoenix, AZ! Head to Evil Izzy's for your spooky costume and make-up needs or grab some sweet horror merch! This episode is sponsored by: ValuSesh! Want to feel the vibes, but don't want to spend an arm and leg? Sesh For Less and use code SCAREDY at Checkout! If you're in Arizona be sure to visit Polar Bear's Pop Culture Shop for all your retro toy collecting needs! Check out our YouTube where you can now WATCH episodes of Scaredycast! And follow us on social! Become a PATRON to support the show and get spooky exclusive content! Original music by Mangy Bones Get your horror movie news, reviews, and thoughts at HorrorPress.com! True crime, haunted happenings, UFO sightings, horror movies, and cryptid creatures. All the spooky you can endure inside one little horror podcast. Get the thirst of your morbid curiosity quenched when you check out Scaredycast! Visit Scaredycast.com for updates on the show, live show event dates, merch, and more!

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meOur theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)-------------------------Love the insights from this episode? Make sure you never miss a beat with Chatpods! Whether you're commuting, working out, or just on the go, Chatpods lets you capture and summarize key takeaways effortlessly.Save time, stay organized, and keep your thoughts at your fingertips.Download Chatpods directly from App Store or Google Play and use it to listen to this podcast today!https://www.chatpods.com/?fr=LearningBayesianStatistics-------------------------Takeaways:Epidemiology focuses on health at various scales, while biology often looks at micro-level details.Bayesian statistics helps connect models to data and quantify uncertainty.Recent advancements in data collection have improved the quality of epidemiological research.Collaboration between domain experts and statisticians is essential for effective research.The COVID-19 pandemic has led to increased data availability and international cooperation.Modeling infectious diseases requires understanding complex dynamics and statistical methods.Challenges in coding and communication between disciplines can hinder progress.Innovations in machine learning and neural networks are shaping the future of epidemiology.The importance of understanding the context and limitations of data in research. Chapters:00:00 Introduction to Bayesian Statistics and Epidemiology03:35 Guest Backgrounds and Their Journey10:04 Understanding Computational Biology vs. Epidemiology16:11 The Role of Bayesian Statistics in Epidemiology21:40 Recent Projects and Applications in Epidemiology31:30...

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meOur theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:Bob's research focuses on corruption and political economy.Measuring corruption is challenging due to the unobservable nature of the behavior.The challenge of studying corruption lies in obtaining honest data.Innovative survey techniques, like randomized response, can help gather sensitive data.Non-traditional backgrounds can enhance statistical research perspectives.Bayesian methods are particularly useful for estimating latent variables.Bayesian methods shine in situations with prior information.Expert surveys can help estimate uncertain outcomes effectively.Bob's novel, 'The Bayesian Heatman,' explores academia through a fictional lens.Writing fiction can enhance academic writing skills and creativity.The importance of community in statistics is emphasized, especially in the Stan community.Real-time online surveys could revolutionize data collection in social science.Chapters:00:00 Introduction to Bayesian Statistics and Bob Kubinec06:01 Bob's Academic Journey and Research Focus12:40 Measuring Corruption: Challenges and Methods18:54 Transition from Government to Academia26:41 The Influence of Non-Traditional Backgrounds in Statistics34:51 Bayesian Methods in Political Science Research42:08 Bayesian Methods in COVID Measurement51:12 The Journey of Writing a Novel01:00:24 The Intersection of Fiction and AcademiaThank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin Caprani, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell,...

We go behind the beats with Mega Ran, diving deep into his journey as an artist, his inspirations, and what it takes to blend gaming culture with hip-hop! Join us for an exclusive Q&A discussion interview where we explore his creative process, upcoming projects, influences and the impact of his music on the gaming community. Mega Ran is a father, husband, hero, DJ, author, former teacher and now full-time indie hip-hop artist who has successfully blended his unique style of rap with comics, video games and pop culture to achieve Guinness Book of World Record status, touring around the world, as well as becoming the first indie hip-hop artist to partner with a triple AAA video game publisher (among many other feats)! To keep up-to-date with the latest developments with Mega Ran, check out his links below: www.youtube.com/@megaran www.megaran.com www.hellomerch.com/collections/mega-ran www.instagram.com/mega_ran www.patreon.com/megaran https://open.spotify.com/artist/2mCmDragybleJXqTqsOk5I?si=zsAACNTLRtuITDHZGnNhHQ&nd=1&dlsi=548655e4335f4bc6 www.megaranmusic.com www.twitch.tv/megaran www.twitter.com/MegaRan www.facebook.com/MegaRanMusic?fref=ts www.itunes.apple.com/us/artist/mega-ran/id351995480 Level 857 Video Game Podcast Ep-334: Behind the Beats w/ Mega Ran (Exclusive Q&A Discussion Interview)! 00:00 - Intro 02:00 - Behind the Beats: Mega Ran Q&A If you enjoyed the podcast and would like to show support, feel free to do so in any of the following ways below: (1) Subscribe and share this podcast with close friends/family (2) Rate/Review us on your preferred podcasting platform: https://podcasters.spotify.com/pod/show/level857 (3) Join our Patreon for exclusive perks and bonuses: https://www.patreon.com/level857 (4) Hit the bell and subscribe to our live podcast and multiplayer, co-op gaming channel: https://goo.gl/Zy9RTD --- Support this podcast: https://podcasters.spotify.com/pod/show/level857/support

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meOur theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:User experience is crucial for the adoption of Stan.Recent innovations include adding tuples to the Stan language, new features and improved error messages.Tuples allow for more efficient data handling in Stan.Beginners often struggle with the compiled nature of Stan.Improving error messages is crucial for user experience.BridgeStan allows for integration with other programming languages and makes it very easy for people to use Stan models.Community engagement is vital for the development of Stan.New samplers are being developed to enhance performance.The future of Stan includes more user-friendly features.Chapters:00:00 Introduction to the Live Episode02:55 Meet the Stan Core Developers05:47 Brian Ward's Journey into Bayesian Statistics09:10 Charles Margossian's Contributions to Stan11:49 Recent Projects and Innovations in Stan15:07 User-Friendly Features and Enhancements18:11 Understanding Tuples and Their Importance21:06 Challenges for Beginners in Stan24:08 Pedagogical Approaches to Bayesian Statistics30:54 Optimizing Monte Carlo Estimators32:24 Reimagining Stan's Structure34:21 The Promise of Automatic Reparameterization35:49 Exploring BridgeStan40:29 The Future of Samplers in Stan43:45 Evaluating New Algorithms47:01 Specific Algorithms for Unique Problems50:00 Understanding Model Performance54:21 The Impact of Stan on Bayesian ResearchThank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin Caprani, Colin...

Our guest this week is Stephen Radney-MacFarland as we continue our Gary Con 2024 series of 50 years of Dungeons and Dragons interviews. We talk about Delve RPG, his passion-project meditation on d20 fantasy games. How he doesn't agree with 5E's advantage/disadvantage rules. Growing up in San Francisco, playing D&D as a kid, and using the Battleship board as a GM screen. Buying Tomb of Horrors, and learning a Gygaxian vocabulary. Working at Wizards of the Coast, combing through novels like Ed Greenwood's Elminster: The Making of a Mage to work on The Forgotten Realms Encyclopedia. Working with Eric Mona on Polyhedron Magazine and the Living Greyhawk Journal. Then moving over to Paizo to work on the Advanced Player's Guide coming up with alternative class features that then turned into what became archetypes. Then tons more freelance writing with Paizo, Kobold Press and more.Follow Stephen at: Website - X - LinkedIn—ANNOUNCEMENTSPAX Unplugged: December 6th through 8th in Philadelphia. Come say hi to Tiger Wizard at the Exalted Funeral booth, and play some games with Dragon Warrior every morning at the Alexandria RPG Library room.Dungeon Cats: Tiger Wizard's rules-lite TTRPG where you play feline adventures is now available at Exalted Funeral. Delve into lush carpeted dungeons to vanquish giant rats, demonic dog spawn and the half full food bowl. Fight with claws, purrs and amazing advanced reflexes for the treasures contained within. You only have 9 lives. Live them adventurously!THE MEGA DUNGEON MEN EP: Our new TTRPG fantasy meets hip hop album, The Mega Dungeon Men EP is now available on all streaming platforms. It's an intense dose of nostalgia and comedy for geek-minded connoisseurs of gaming & fun with features from nerdcore legends Mega Ran and MC Frontalot.JOIN OUR MAILING LIST by clicking the newsletter button at epiclevelsrapgods.com—Thanks for listening to Season Three of the Epic Levels Mad Dungeon podcast, where D&D hip hop group Epic Levels alternate between “Rise of the Vat Spawn,” an actual play using Mystic Punks RPG, and Side Quests where we interview other game creators.You can support us via Patreon for early episode releases, bonus map content, extra art, access to our discord server, and lots of other exclusive goodies.Get nerd merch and stay up to date with socials: HEREMad Dungeon is hosted by Andrew Bellury, Steve Albertson, Robin Bellury and produced by Zach Cowan.Theme song by Epic Levels and beat by Jay Domingo.© 2024 Epic Levels. All characters in our adventures–even those based on real people–are entirely fictional.

The Vat Spawn take out the final elite goblins. We meet Lotto, a 10-foot demon dog. Bat Alchemist sucks venom out of Warlock Roc. They explore further into the goblin museum, finding horrific paintings of former goblin kings, before discovering the current Goblin King's chambers.ANNOUNCEMENTSGamehole Con: October 17th through 20th in Madison, Wisconsin. We'll have a booth right up front in the Podcasters and Press section. Come say hi to Dragon Warrior and pick up some Dungeon Cats and Mad Dungeon season three Rise of the Vat Spawn swag!PAX Unplugged: December 6th through 8th in Philadelphia. Come say hi to Tiger Wizard at the Exalted Funeral booth, and play some games with Dragon Warrior every morning at the Alexandria RPG Library room.Dungeon Cats: Tiger Wizard's rules-lite TTRPG where you play feline adventurers is now available at Exalted Funeral. Delve into lush carpeted dungeons to vanquish giant rats, demonic dog spawn and the half-full food bowl. Fight with claws, purrs and advanced reflexes for the treasures contained within. You only have 9 lives. Live them adventurously!THE MEGA DUNGEON MEN EP: Our new TTRPG fantasy meets hip hop album, The Mega Dungeon Men EP is now available on all streaming platforms. It's an intense dose  of nostalgia and comedy for geek-minded connoisseurs of gaming & fun with features from nerdcore legends Mega Ran and MC Frontalot.JOIN OUR MAILING LIST by clicking the newsletter button at epiclevelsrapgods.com—Thanks for listening to Season Three of the Epic Levels Mad Dungeon podcast, where D&D hip hop group Epic Levels alternate between “Rise of the Vat Spawn,” an actual play using Mystic Punks RPG, and Side Quests where we interview other game creators.You can support us via Patreon for early episode releases, bonus map content, extra art, access to our discord server, and lots of other exclusive goodies.Get nerd merch and stay up to date with socials: HEREMad Dungeon is hosted by Andrew Bellury, Steve Albertson, Robin Bellury and produced by Zach Cowan.Theme song by Epic Levels and beat by Jay Domingo.© 2024 Epic Levels. All characters in our adventures–even those based on real people–are entirely fictional.

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meOur theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:Designing experiments is about optimal data gathering.The optimal design maximizes the amount of information.The best experiment reduces uncertainty the most.Computational challenges limit the feasibility of BED in practice.Amortized Bayesian inference can speed up computations.A good underlying model is crucial for effective BED.Adaptive experiments are more complex than static ones.The future of BED is promising with advancements in AI.Chapters:00:00 Introduction to Bayesian Experimental Design07:51 Understanding Bayesian Experimental Design19:58 Computational Challenges in Bayesian Experimental Design28:47 Innovations in Bayesian Experimental Design40:43 Practical Applications of Bayesian Experimental Design52:12 Future of Bayesian Experimental Design01:01:17 Real-World Applications and ImpactThank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin Caprani, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Michael Hankin, Cameron Smith, Tomáš Frýda, Ryan Wesslen, Andreas Netti, Riley King, Yoshiyuki Hamajima, Sven De Maeyer, Michael DeCrescenzo, Fergal M, Mason Yahr, Naoya Kanai, Steven Rowland, Aubrey Clayton, Jeannine Sue, Omri Har Shemesh, Scott Anthony Robson, Robert Yolken, Or Duek, Pavel Dusek, Paul Cox, Andreas Kröpelin, Raphaël R, Nicolas Rode, Gabriel Stechschulte, Arkady, Kurt TeKolste, Gergely Juhasz, Marcus Nölke, Maggi Mackintosh, Grant Pezzolesi, Avram Aelony, Joshua Meehl, Javier Sabio, Kristian Higgins, Alex Jones, Gregorio Aguilar, Matt Rosinski, Bart Trudeau, Luis Fonseca, Dante Gates, Matt Niccolls, Maksim Kuznecov,...

Our guest this week is David “Zeb” Cook as we continue our Gary Con 2024 series of 50 years of Dungeons and Dragons interviews. We talk about his involvement in 49 of the 50 years of D&D's existence and how satisfying it's been for him to see his work impacting generations of people.We discuss his late 1970s start at TSR by editing Queen of the Demonweb Pits (Q1), writing Slave Pits of the Undercity (A1) as the first project that he wrote at TSR, running tournaments at the very earliest Gen Cons and Origins, how Dwellers of the Forbidden City came from his writing sample to get the job at TSR. We talk about his love of Conan, writing the first Conan module Conan Unchained! (CB1) and writing the Conan Role-Playing Game.TSR in the 1980s: growth from a staff of gamers and hobbyists to running a successful company. Dealing with the Satanic Panic. Being lead designer on the 2nd edition AD&D. Worked on D&D through 1994 with Planescape and some smaller projects before moving on to video games. Follow Zeb at: Wikipedia - FB - Amazon —ANNOUNCEMENTSGamehole Con: October 17th through 20th in Madison, Wisconsin. We'll have a booth right up front in the Podcasters and Press section. Come say hi to Dragon Warrior and pick up some Dungeon Cats and Mad Dungeon season three Rise of the Vat Spawn swag!PAX Unplugged: December 6th through 8th in Philadelphia. Come say hi to Tiger Wizard at the Exalted Funeral booth, and play some games with Dragon Warrior every morning at the Alexandria RPG Library room.Dungeon Cats: Tiger Wizard's rules-lite TTRPG where you play feline adventures is now available at Exalted Funeral. Delve into lush carpeted dungeons to vanquish giant rats, demonic dog spawn and the half full food bowl. You only have 9 lives. Live them adventurously!THE MEGA DUNGEON MEN EP: Our new TTRPG fantasy meets hip hop album, The Mega Dungeon Men EP, with features from nerdcore legends Mega Ran and MC Frontalot, is now available on all streaming platforms.JOIN OUR MAILING LIST by clicking the newsletter button at epiclevelsrapgods.com—Thanks for listening to Season Three of the Epic Levels Mad Dungeon podcast, where D&D hip hop group Epic Levels alternate between “Rise of the Vat Spawn,” an actual play using Mystic Punks RPG, and Side Quests where we interview other game creators.You can support us via Patreon for early episode releases, bonus map content, extra art, access to our discord server, and lots of other exclusive goodies.Get nerd merch and stay up to date with socials: HEREMad Dungeon is hosted by Andrew Bellury, Steve Albertson, Robin Bellury and produced by Zach Cowan.Theme song by Epic Levels and beat by Jay Domingo.© 2024 Epic Levels. All characters in our adventures–even those based on real people–are entirely fictional.

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meOur theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:Building an athlete management system and a scouting and recruitment platform are key goals in football analytics.The focus is on informing training decisions, preventing injuries, and making smart player signings.Avoiding false positives in player evaluations is crucial, and data analysis plays a significant role in making informed decisions.There are similarities between different football teams, and the sport has social and emotional aspects. Transitioning from on-premises SQL servers to cloud-based systems is a significant endeavor in football analytics.Analytics is a tool that aids the decision-making process and helps mitigate biases. The impact of analytics in soccer can be seen in the decline of long-range shots.Collaboration and trust between analysts and decision-makers are crucial for successful implementation of analytics.The limitations of available data in football analytics hinder the ability to directly measure decision-making on the field. Analyzing the impact of coaches in sports analytics is challenging due to the difficulty of separating their effect from other factors. Current data limitations make it hard to evaluate coaching performance accurately.Predictive metrics and modeling play a crucial role in soccer analytics, especially in predicting the career progression of young players.Improving tracking data and expanding its availability will be a significant focus in the future of soccer analytics.Chapters:00:00 Introduction to Ravi and His Role at Seattle Sounders 06:30 Building an Analytics Department15:00 The Impact of Analytics on Player Recruitment and Performance 28:00 Challenges and Innovations in Soccer Analytics 42:00 Player Health, Injury Prevention, and Training 55:00 The Evolution of Data-Driven Strategies01:10:00 Future of Analytics in SportsThank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson,

309 Balls: Crystal, Disco & Fire - Rise of the Vat SpawnThe Vat Spawn finish their fight with elite business goblins that includes disco floors, Weekend-at-Bernie's-ing a dead goblin to find true love in secret nap spots, and lots of Nitar's Fireballs were a'flyin'. A crystal ball houses a goblin spirit to find down-on-their-luck victims as part of a larger goblin conspiracy. And a fire-breathing demon dog is awakened.ANNOUNCEMENTSTHE MEGA DUNGEON MEN EP: Our new TTRPG fantasy meets hip hop album, The Mega Dungeon Men EP is out this now. It features Mega Ran, MC Frontalot, Denkles and Dizzy the Bard dropping verses alongside Dragon Warrior and Tiger Wizard all set to nostalgic beats by Inner Resting. Give it a listen, share it with your friends, dance to it on TikTok.NEW POSTER MAP: We have a new poster adventure map now available for purchase at Exalted Funeral based on our Mad Dungeon season one, episode 20, Song of the Shriekfrapp, with the legendary Erol Otus—who not only made the adventure with us, but also illustrated the 11×17 front-side poster image! The water is draining away at the secret golden oasis because of all the infighting between the adorable, ear-like loboids. Can you help the tiptoers, bouncers and striders to stop bickering and unite with their magic dance to save their home from being destroyed by the slumbering Shriekfrapp? I hear that it's good luck to flip a gold coin into the water when you arrive.JOIN OUR MAILING LIST by clicking the newsletter button at epiclevelsrapgods.com—Thanks for listening to Season Three of the Epic Levels Mad Dungeon podcast, where D&D hip hop group Epic Levels alternate between “Rise of the Vat Spawn,” an actual play using Mystic Punks RPG, and Side Quests where we interview other game creators.You can support us via Patreon for early episode releases, bonus map content, extra art, access to our discord server, and lots of other exclusive goodies.Get nerd merch and stay up to date with socials: HEREMad Dungeon is hosted by Andrew Bellury, Steve Albertson, Robin Bellury and produced by Zach Cowan.Theme song by Epic Levels and beat by Jay Domingo.© 2024 Epic Levels. All characters in our adventures–even those based on real people–are entirely fictional.

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meOur theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:State space models and traditional time series models are well-suited to forecast loss ratios in the insurance industry, although actuaries have been slow to adopt modern statistical methods.Working with limited data is a challenge, but informed priors and hierarchical models can help improve the modeling process.Bayesian model stacking allows for blending together different model predictions and taking the best of both (or all if more than 2 models) worlds.Model comparison is done using out-of-sample performance metrics, such as the expected log point-wise predictive density (ELPD). Brute leave-future-out cross-validation is often used due to the time-series nature of the data.Stacking or averaging models are trained on out-of-sample performance metrics to determine the weights for blending the predictions. Model stacking can be a powerful approach for combining predictions from candidate models. Hierarchical stacking in particular is useful when weights are assumed to vary according to covariates.BayesBlend is a Python package developed by Ledger Investing that simplifies the implementation of stacking models, including pseudo Bayesian model averaging, stacking, and hierarchical stacking.Evaluating the performance of patient time series models requires considering multiple metrics, including log likelihood-based metrics like ELPD, as well as more absolute metrics like RMSE and mean absolute error.Using robust variants of metrics like ELPD can help address issues with extreme outliers. For example, t-distribution estimators of ELPD as opposed to sample sum/mean estimators.It is important to evaluate model performance from different perspectives and consider the trade-offs between different metrics. Evaluating models based solely on traditional metrics can limit understanding and trust in the model. Consider additional factors such as interpretability, maintainability, and productionization.Simulation-based calibration (SBC) is a valuable tool for assessing parameter estimation and model correctness. It allows for the interpretation of model parameters and the identification of coding errors.In industries like insurance, where regulations may restrict model choices, classical statistical approaches still play a significant role. However, there is potential for Bayesian methods and generative AI in certain areas.

Mega Ran is a Guineess World Record-Holding, Philly born, Phoenix AZ Transplant. He's also a Nerdcore Hip-Hop Pioneer. He's a lot of things. Husband, Father, and he's someone I consider a friend of mine. I've had the opportunity to hang out with Raheem a few times and seen him live a few times as well. He's a charismatic and super engaging performer while also very genuine in his approach to everything from his love of video games to his ideas about acceptance and social justice. This dude is the real deal, and this was all apparent during my conversation with him back in the fall of 2022. When we had this conversation, neither of us had met before, so it's really fun for me to listen back to it and hear us meeting for the first time. Whether you're familiar with his music or not, I think you'll really enjoy our conversation. Check out Mega Ran's Music on Spotify Catch Mega Ran on Tour in your city! --- Support this podcast: https://podcasters.spotify.com/pod/show/adirtbagsguide/support

Full show: https://kNOwBETTERHIPHOP.com Artist Played: unselftitled, Ol Dirty Bastard, Kelis, conshus, Sean Shakespeare, Boyan, Nic Hanson, DJ Mykael V, 1995, indie tribe, Sai T, Eligh, ES.CE, Joya Mooi, XG, Free Tillman, PredatorPr!me, RA The Rugged Man, SB The Anomoly, KRS-One Hosted, Skitzo, Mega Ran, King Pari, DJ Design, Fashawn, Jazzy Soto, REKS, Myster DL, Michi, Funky DL, E1EVENSHAY, OutKast, GOODie MOb, IMAKEMADBEATS

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meOur theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:Education and visual communication are key in helping athletes understand the impact of nutrition on performance.Bayesian statistics are used to analyze player performance and injury risk.Integrating diverse data sources is a challenge but can provide valuable insights.Understanding the specific needs and characteristics of athletes is crucial in conditioning and injury prevention. The application of Bayesian statistics in baseball science requires experts in Bayesian methods.Traditional statistical methods taught in sports science programs are limited.Communicating complex statistical concepts, such as Bayesian analysis, to coaches and players is crucial.Conveying uncertainties and limitations of the models is essential for effective utilization.Emerging trends in baseball science include the use of biomechanical information and computer vision algorithms.Improving player performance and injury prevention are key goals for the future of baseball science.Chapters:00:00 The Role of Nutrition and Conditioning05:46 Analyzing Player Performance and Managing Injury Risks12:13 Educating Athletes on Dietary Choices18:02 Emerging Trends in Baseball Science29:49 Hierarchical Models and Player Analysis36:03 Challenges of Working with Limited Data39:49 Effective Communication of Statistical Concepts47:59 Future Trends: Biomechanical Data Analysis and Computer Vision AlgorithmsThank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin Caprani, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde,...

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meOur theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:Bayesian statistics is a powerful framework for handling complex problems, making use of prior knowledge, and excelling with limited data.Bayesian statistics provides a framework for updating beliefs and making predictions based on prior knowledge and observed data.Bayesian methods allow for the explicit incorporation of prior assumptions, which can provide structure and improve the reliability of the analysis.There are several Bayesian frameworks available, such as PyMC, Stan, and Bambi, each with its own strengths and features.PyMC is a powerful library for Bayesian modeling that allows for flexible and efficient computation.For beginners, it is recommended to start with introductory courses or resources that provide a step-by-step approach to learning Bayesian statistics.PyTensor leverages GPU acceleration and complex graph optimizations to improve the performance and scalability of Bayesian models.ArviZ is a library for post-modeling workflows in Bayesian statistics, providing tools for model diagnostics and result visualization.Gaussian processes are versatile non-parametric models that can be used for spatial and temporal data analysis in Bayesian statistics.Chapters:00:00 Introduction to Bayesian Statistics07:32 Advantages of Bayesian Methods16:22 Incorporating Priors in Models23:26 Modeling Causal Relationships30:03 Introduction to PyMC, Stan, and Bambi34:30 Choosing the Right Bayesian Framework39:20 Getting Started with Bayesian Statistics44:39 Understanding Bayesian Statistics and PyMC49:01 Leveraging PyTensor for Improved Performance and Scalability01:02:37 Exploring Post-Modeling Workflows with ArviZ01:08:30 The Power of Gaussian Processes in Bayesian ModelingThank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna,...

Full show: https://kNOwBETTERHIPHOP.com Artist Played: O_Super, MegaRan, conshus, Beautiful Chorus, Bathe, El Combo Oscuro, Rakaa Iriscience, Dilated Peoples, Professor Shorthair, Silas Short, LSB, Stamina MC, T.R.A.C, King Gizzard and The Lizard Wizard, OldBoy Rhymes, Brother Ali, salute, Narcy, NIKO IS, Punchline, Confidence, Jonah Yano, Lord Sko, Statik Selektah, Devin Morrison, K-Rec, 4-IZE, Pearl and The Oysters, Amerigo Gazaway, Cavendish Archive, Napoleon Da Legend, Scar, Sleepy Brown, OutKast, GOODie MOb, IMAKEMADBEATS

We got a little X-Men 97 news from D23 in Anaheim; at least enough to make an episode full of speculation about! We got Polaris, Danger, returns, new suits and Japan! Also Mega and Marcos talk about Marvel's next slate of films, announcements and TV shows. Is it too much, or just enough? Time will tell! Thanks for listening. MEGA RAN and SHAO DOW are touring the UK this week! Aug 17-18 Birmingham Aug 20 Manchester (with Shwabadi and DJ Agent J) Aug 21 Huddersfield Aug 23 London (with Rustage and Shwabadi) Aug 24 Bristol + London Aug 25 AEW ALL IN PRE-PARTY, Wembley tickets up now! megaran.com/shows Order EXCLUSIVE X-Pod 97 merch, like hoodies, stickers and mugs now at this link: https://mega-ran.creator-spring.com/listing/x-pod-97 Join Mega Ran's Discord to discuss this episode and more:  https://discord.gg/BZYuHdfUbq Learn more about your ad choices. Visit megaphone.fm/adchoices

Our guest this week is John “Hambone” McGuire as we continue our Gary Con 2024 series of 50 years of D&D interviews. We talk about his 321 Action core book and the adventures he's written to go along with it, including upcoming Hotel Exorcist, Braineaters! that he's working on with Brian Shutter (Neon Lords of the Toxic Wastelands), and his love of Romero's Dawn of the Dead (1978).We discuss playing Mystic Punks together at Gary Con, the community built playing RPGs compared to playing in bands, hosting the Vintage RPG podcast with Stu Horvath, and Stu's new book Monsters, Aliens, and Holes in the Ground: A Guide to Tabletop Roleplaying Games from D&D to Mothership.Follow 321 Action at: Website – Exalted Funeral – Drive Thru RPG – Itch.io – FB – IG – TwitterAnnouncementsDUNGEON CATS: Tiger Wizard's rules-fluffy mini-RPG Dungeon Cats is a game about cats going into dungeons, slaying vile creatures and getting away with the loot! Dungeon Cats is being mailed to Kickstarter backers! Check your mail kittens!THE MEGA DUNGEON MEN EP is out now on all streaming platforms. Our new TTRPG fantasy meets hip hop album features Mega Ran, MC Frontalot, Denkles and Dizzy the Bard dropping verses alongside Dragon Warrior and Tiger Wizard all set to nostalgic beats by Inner Resting.NEW POSTER MAP: We have a new poster adventure map now available for purchase at Exalted Funeral based on our Mad Dungeon season one, episode 20, Song of the Shriekfrapp, with the legendary Erol Otus—who not only made the adventure with us, but also illustrated the 11x17 front-side poster image!JOIN OUR MAILING LIST by clicking the newsletter button on our homepage.--You can support us via Patreon & stay up to date with us HEREMad Dungeon is hosted by Andrew Bellury, Steve Albertson, Robin Bellury and produced by Zach Cowan.Theme song by Epic Levels and beat by Jay Domingo.© 2024 Epic Levels. All characters in our adventures–even those based on real people–are entirely fictional.

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meOur theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:Teaching Bayesian Concepts Using M&Ms: Tomi Capretto uses an engaging classroom exercise involving M&Ms to teach Bayesian statistics, making abstract concepts tangible and intuitive for students.Practical Applications of Bayesian Methods: Discussion on the real-world application of Bayesian methods in projects at PyMC Labs and in university settings, emphasizing the practical impact and accessibility of Bayesian statistics.Contributions to Open-Source Software: Tomi's involvement in developing Bambi and other open-source tools demonstrates the importance of community contributions to advancing statistical software.Challenges in Statistical Education: Tomi talks about the challenges and rewards of teaching complex statistical concepts to students who are accustomed to frequentist approaches, highlighting the shift to thinking probabilistically in Bayesian frameworks.Future of Bayesian Tools: The discussion also touches on the future enhancements for Bambi and PyMC, aiming to make these tools more robust and user-friendly for a wider audience, including those who are not professional statisticians. Chapters:05:36 Tomi's Work and Teaching10:28 Teaching Complex Statistical Concepts with Practical Exercises23:17 Making Bayesian Modeling Accessible in Python38:46 Advanced Regression with Bambi41:14 The Power of Linear Regression42:45 Exploring Advanced Regression Techniques44:11 Regression Models and Dot Products45:37 Advanced Concepts in Regression46:36 Diagnosing and Handling Overdispersion47:35 Parameter Identifiability and Overparameterization50:29 Visualizations and Course Highlights51:30 Exploring Niche and Advanced Concepts56:56 The Power of Zero-Sum Normal59:59 The Value of Exercises and Community01:01:56 Optimizing Computation with Sparse Matrices01:13:37 Avoiding MCMC and Exploring Alternatives01:18:27 Making Connections Between Different ModelsThank you to my Patrons for making this episode...

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meOur theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:Communicating Bayesian concepts to non-technical audiences in sports analytics can be challenging, but it is important to provide clear explanations and address limitations.Understanding the model and its assumptions is crucial for effective communication and decision-making.Involving domain experts, such as scouts and coaches, can provide valuable insights and improve the model's relevance and usefulness.Customizing the model to align with the specific needs and questions of the stakeholders is essential for successful implementation. Understanding the needs of decision-makers is crucial for effectively communicating and utilizing models in sports analytics.Predicting the impact of training loads on athletes' well-being and performance is a challenging frontier in sports analytics.Identifying discrete events in team sports data is essential for analysis and development of models.Chapters:00:00 Bayesian Statistics in Sports Analytics18:29 Applying Bayesian Stats in Analyzing Player Performance and Injury Risk36:21 Challenges in Communicating Bayesian Concepts to Non-Statistical Decision-Makers41:04 Understanding Model Behavior and Validation through Simulations43:09 Applying Bayesian Methods in Sports Analytics48:03 Clarifying Questions and Utilizing Frameworks53:41 Effective Communication of Statistical Concepts57:50 Integrating Domain Expertise with Statistical Models01:13:43 The Importance of Good Data01:18:11 The Future of Sports AnalyticsThank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin Caprani, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew...

The Vat Spawn follow beefy elite goblins into a room of swords with a goblin museum curators arguing about presentation. The head curator laughs as Dragon Warrior touches a cursed codeine razor and is weakened with magical addiction. A big ole fight breaks out with Tiger Wizard trip attacks and a fun knife-in-the-head polymorph into goblin hipsterdom. Bat Alchemist finds some mystically placed stanchions & velvet ropes, and he corrals in the curators behind the ropes to watch the fight. Warlock Roc has on headphones that are giving her an audio tour, and learns about The First Year Being Rich Cutlass. She grabs it and brandishes it without blasting off its power… until she does! The cutlass pulls all metal (including magic swords) into the sword, nearly killing everyone.ANNOUNCEMENTSTHE MEGA DUNGEON MEN EP: Our new TTRPG fantasy meets hip hop album, The Mega Dungeon Men EP is out this now. It features Mega Ran, MC Frontalot, Denkles and Dizzy the Bard dropping verses alongside Dragon Warrior and Tiger Wizard all set to nostalgic beats by Inner Resting. Give it a listen, share it with your friends, dance to it on TikTok.NEW POSTER MAP: We have a new poster adventure map now available for purchase at Exalted Funeral based on our Mad Dungeon season one, episode 20, Song of the Shriekfrapp, with the legendary Erol Otus—who not only made the adventure with us, but also illustrated the 11×17 front-side poster image! The water is draining away at the secret golden oasis because of all the infighting between the adorable, ear-like loboids. Can you help the tiptoers, bouncers and striders to stop bickering and unite with their magic dance to save their home from being destroyed by the slumbering Shriekfrapp? I hear that it's good luck to flip a gold coin into the water when you arrive.JOIN OUR MAILING LIST by clicking the newsletter button at epiclevelsrapgods.com—Thanks for listening to Season Three of the Epic Levels Mad Dungeon podcast, where D&D hip hop group Epic Levels alternate between “Rise of the Vat Spawn,” an actual play using Mystic Punks RPG, and Side Quests where we interview other game creators.You can support us via Patreon for early episode releases, bonus map content, extra art, access to our discord server, and lots of other exclusive goodies.Get nerd merch and stay up to date with socials: HEREMad Dungeon is hosted by Andrew Bellury, Steve Albertson, Robin Bellury and produced by Zach Cowan.Theme song by Epic Levels and beat by Jay Domingo.© 2024 Epic Levels. All characters in our adventures–even those based on real people–are entirely fictional.

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meOur theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:Use mini-batch methods to efficiently process large datasets within Bayesian frameworks in enterprise AI applications.Apply approximate inference techniques, like stochastic gradient MCMC and Laplace approximation, to optimize Bayesian analysis in practical settings.Explore thermodynamic computing to significantly speed up Bayesian computations, enhancing model efficiency and scalability.Leverage the Posteriors python package for flexible and integrated Bayesian analysis in modern machine learning workflows.Overcome challenges in Bayesian inference by simplifying complex concepts for non-expert audiences, ensuring the practical application of statistical models.Address the intricacies of model assumptions and communicate effectively to non-technical stakeholders to enhance decision-making processes.Chapters:00:00 Introduction to Large-Scale Machine Learning11:26 Scalable and Flexible Bayesian Inference with Posteriors25:56 The Role of Temperature in Bayesian Models32:30 Stochastic Gradient MCMC for Large Datasets36:12 Introducing Posteriors: Bayesian Inference in Machine Learning41:22 Uncertainty Quantification and Improved Predictions52:05 Supporting New Algorithms and Arbitrary Likelihoods59:16 Thermodynamic Computing01:06:22 Decoupling Model Specification, Data Generation, and InferenceThank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin Caprani, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Michael Hankin, Cameron Smith, Tomáš Frýda, Ryan Wesslen, Andreas Netti, Riley King, Yoshiyuki Hamajima, Sven De Maeyer, Michael DeCrescenzo, Fergal

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meOur theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work !Visit our Patreon page to unlock exclusive Bayesian swag ;)TakeawaysBayesian methods align better with researchers' intuitive understanding of research questions and provide more tools to evaluate and understand models.Prior sensitivity analysis is crucial for understanding the robustness of findings to changes in priors and helps in contextualizing research findings.Bayesian methods offer an elegant and efficient way to handle missing data in longitudinal studies, providing more flexibility and information for researchers.Fit indices in Bayesian model selection are effective in detecting underfitting but may struggle to detect overfitting, highlighting the need for caution in model complexity.Bayesian methods have the potential to revolutionize educational research by addressing the challenges of small samples, complex nesting structures, and longitudinal data. Posterior predictive checks are valuable for model evaluation and selection.Chapters00:00 The Power and Importance of Priors09:29 Updating Beliefs and Choosing Reasonable Priors16:08 Assessing Robustness with Prior Sensitivity Analysis34:53 Aligning Bayesian Methods with Researchers' Thinking37:10 Detecting Overfitting in SEM43:48 Evaluating Model Fit with Posterior Predictive Checks47:44 Teaching Bayesian Methods 54:07 Future Developments in Bayesian StatisticsThank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin Caprani, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Michael Hankin, Cameron Smith, Tomáš Frýda, Ryan Wesslen, Andreas Netti, Riley King, Yoshiyuki Hamajima, Sven De Maeyer, Michael DeCrescenzo, Fergal M, Mason Yahr, Naoya Kanai, Steven Rowland, Aubrey Clayton, Jeannine Sue, Omri Har Shemesh, Scott Anthony Robson, Robert Yolken, Or Duek, Pavel Dusek, Paul Cox, Andreas Kröpelin, Raphaël R, Nicolas Rode, Gabriel Stechschulte, Arkady, Kurt TeKolste, Gergely Juhasz, Marcus Nölke, Maggi...

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!My Intuitive Bayes Online Courses1:1 Mentorship with meFolks, you may know it by now: I'm a huge sports fan! So needless to say that this episode was like being in a candy store for me. Paul Sabin is so knowledgeable that this conversation was an absolute blast for me!In it, Paul discusses his experience with non-stats stakeholders in sports analytics and the challenges of convincing them to adopt evidence-based decisions. He also explains his soccer power ratings and projections model, which uses a Bayesian approach and expected goals, as well as the importance of understanding player value in difficult-to-measure positions, and the need for more accessible and digestible sports analytics for fans. We also touch on the impact of budget on team performance in American sports and the use of plus-minus models in basketball and American football.Paul is a Senior Fellow at The Wharton Sports Analytics & Business Initiative and a Lecturer in the Department of Statistics and Data Science at The Wharton School of The University of Pennsylvania. He has spent his entire career as a sports analytics professional, teaching and leading sports analytics research projects.Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work at https://bababrinkman.com/ !Thank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin Caprani, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Michael Hankin, Cameron Smith, Tomáš Frýda, Ryan Wesslen, Andreas Netti, Riley King, Yoshiyuki Hamajima, Sven De Maeyer, Michael DeCrescenzo, Fergal M, Mason Yahr, Naoya Kanai, Steven Rowland, Aubrey Clayton, Jeannine Sue, Omri Har Shemesh, Scott Anthony Robson, Robert Yolken, Or Duek, Pavel Dusek, Paul Cox, Andreas Kröpelin, Raphaël R, Nicolas Rode, Gabriel Stechschulte, Arkady, Kurt TeKolste, Gergely Juhasz, Marcus Nölke, Maggi Mackintosh, Grant Pezzolesi, Avram Aelony, Joshua Meehl, Javier Sabio, Kristian Higgins, Alex Jones, Gregorio Aguilar, Matt Rosinski, Bart Trudeau, Luis Fonseca, Dante Gates, Matt Niccolls, Maksim Kuznecov, Michael Thomas, Luke Gorrie, Cory Kiser, Julio, Edvin Saveljev, Frederick Ayala, Jeffrey Powell, Gal Kampel, Adan Romero, Will Geary and Blake Walters.Visit

Marc Bernardin uncovers nerdcore rapper MegaRan's origin story, digs into life on the very high seas, and gets a NEW THEME SONG!