Podcasts about partially derivative

MLOps Coffee Sessions #68 with Chris Albon, Wikimedia MLOps co-hosted by Neal Lathia. // Abstract // Bio Chris spent over a decade applying statistical learning, artificial intelligence, and software engineering to political, social, and humanitarian efforts. He is the Director of Machine Learning at the Wikimedia Foundation. Previously, Chris was the Director of Data Science at Devoted Health, Director of Data Science at the Kenyan startup BRCK, cofounded the AI startup Yonder, created the data science podcast Partially Derivative, was the Director of Data Science at the humanitarian non-profit Ushahidi, and was the director of the low-resource technology governance project at FrontlineSMS. Chris also wrote Machine Learning For Python Cookbook (O'Reilly 2018) and created Machine Learning Flashcards. Chris earned a Ph.D. in Political Science from the University of California, Davis researching the quantitative impact of civil wars on health care systems. He earned a B.A. from the University of Miami, where he triple majored in political science, international studies, and religious studies. // Relevant Links --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, Feature Store, Machine Learning Monitoring and Blogs: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Neal on LinkedIn: https://www.linkedin.com/in/nlathia/ Connect with Chris on LinkedIn: https://www.linkedin.com/in/chrisralbon/

Hey, we're back! This is the long awaited semi-sequel to our first episode on the topic. Be sure to check back soon for the next episode on a new topic! --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app Support this podcast: https://anchor.fm/partially-derivative/support

In this episode, Alec and I discuss the underlying technology of cryptocurrency: the blockchain as well as other potential applications. Follow us on YouTube where you can watch the video version! Edit: In the original audio recording, we were out of sync, the updated audio file should be fixed. --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app Support this podcast: https://anchor.fm/partially-derivative/support

Alec is back this week! We discuss the general premise of how and why the Russians hacked into the SolarWinds' Orion softawre and the implications it has for the future of the security of the U.S. --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app Support this podcast: https://anchor.fm/partially-derivative/support

In this episode, I interview my cousin, Monica Guzik, who is a NASA engineer. She talks about the upcoming missions planned for 2021. --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app Support this podcast: https://anchor.fm/partially-derivative/support

This episode originally aired on SoundCloud. Alec and Noah talk about the iPhone 12, the Note 20, and a bunch of other niche smartphones that nobody has probably ever heard of --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app Support this podcast: https://anchor.fm/partially-derivative/support

This episode originally aired on SoundCloud. Alec and Noah talk about the rumors and speculations surrounding the next generation gaming consoles. --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app Support this podcast: https://anchor.fm/partially-derivative/support

Michelle Casbon is back in the host seat with Mark Mirchandani this week as we talk data science with Devoted Health Director of Data Science, Chris Albon. Chris talks with us about what it takes to be a data scientist at Devoted Health and how Devoted Health and machine learning are advancing the healthcare field. Later, Chris talks about the future of Devoted Health and how they plan to grow. They’re hiring! At Devoted Health, they emphasize knowledge, supporting a culture of not just machine learning but people learning as well. Questions are encouraged and assumptions are discouraged in a field where a tiny mistake can change the care a person receives. Because of this, their team members not only have a strong data science background, they also learn the specific nuances of the healthcare system in America, combined with knowledge of the legal and privacy regulations in that space. How did Chris go from Political Science Ph.D. to non-profit data science wizard? Listen in to find out his storied past. Chris Albon Chris Albon is the Director of Data Science at Devoted Health, using data science and machine learning to help fix America’s health care system. Previously, he was Chief Data Scientist at the Kenyan startup BRCK, cofounded the anti-fake news company New Knowledge, created the data science podcast Partially Derivative, led the data team at the humanitarian non-profit Ushahidi’s, and was the director of the low-resource technology governance project at FrontlineSMS. Chris also wrote Machine Learning For Python Cookbook (O’Reilly 2018) and created Machine Learning Flashcards. He earned a Ph.D. in Political Science from the University of California, Davis researching the quantitative impact of civil wars on health care systems. Chris earned a B.A. from the University of Miami, where he triple majored in political science, international studies, and religious studies. Cool things of the week How Itaú Unibanco built a CI/CD pipeline for ML using Kubeflow blog Why TPUs are so high-performance BFloat16: The secret to high performance on Cloud TPUs blog TPU Codelabs site Benchmarking TPU, GPU, and CPU Platforms for Deep Learning paper Machine Learning Flashcards site Interview Devoted Health site Devoted Health is hiring! site Ushahidi site FrontlineSMS site New Knowledge site Joel Grus: Fizz Buzz in TensorFlow site Snowflake site Periscope Data site Airflow site Kubernetes site Chris Albon’s Website site Partially Derivative podcast Partially Derivative Back Episodes podcast Question of the week Chris Albon To paraphrase: A computer program is said to learn if its performance at specific tasks improves with experience. To find out more, including the definition of a partial derivative, buy a pack of Chris’s flashcards. Who knows, they might help you land your next job. Where can you find us next? Michelle is planning the ML for Developers track for QCon SF on Nov. 13. Mark is staying in San Francisco and just launched two Beyond Your Bill videos: Organizing your GCP resources and Managing billing permissions. Sound Effect Attribution “Small Group Laugh 5” by Tim.Kahn of Freesound.org “Crowd Laugh” by Tom_Woysky of Freesound.org “Transformers Type SFX 2” by HykenFreak of Freesound.org “Approx 800 Laugh” by LoneMonk of Freesound.org “Bad Beep” by RicherLandTV of Freesound.org “C-ClassicalSuspense” by DuckSingle of Freesound.org

This week, Hugo speaks with Chris Albon about getting your first data science job. Chris is a Data Scientist at Devoted Health, where he uses data science and machine learning to help fix America's healthcare system. Chris is also doing a lot of hiring at Devoted and that’s why he’s so excited today to talk about how to get your first data science job. You may know Chris as co-host of the podcast Partially Derivative, from his educational resources such as his blog and machine learning flashcards or as one of the funniest data scientists on Twitter.LINKS FROM THE SHOWDATAFRAMED GUEST SUGGESTIONSDataFramed Guest Suggestions (who do you want to hear on DataFramed?)FROM THE INTERVIEWChris on TwitterChris's WebsiteDevoted WebsiteMachine Learning Flashcards (By Chris Albon)Machine Learning with Python Cookbook (By Chris Albon)FROM THE SEGMENTSGuidelines for A/B Testing (with Emily Robinson ~26:50)Guidelines for A/B Testing (By Emily Robinson)10 Guidelines for A/B Testing Slides (By Emily Robinson)Original music and sounds by The Sticks.

Chris Albon is the Chief Data Scientist of BRCK: a Kenyan startup building a network dedicated to connecting Africa to the internet, and author of the Machine Learning with Python Cookbook. For years he’s been contributing to the data science world through so many different outlets:   Cofounder of New Knowledge AI - an social media platform focused on protecting companies from disinformation, fighting fake news, and defending public discourse Former host of Partially Derivative - a popular podcast mixing explorations into data science techniques with discussions in the field’s leading experts. Content creator of Machine Learning Flashcards  - simplified, easy to digest flashcards for otherwise-complex machine learning concepts.   Blog writer at chrisalbon.com - providing some of best (and definitely most wide-ranging) technical notes out there on machine learning, statistics, deep learning, Python, and so much more. Our conversation went many places, including: How early childhood experiences (including his heritage in Zimbabwe) led him to focus his career so strictly on social impact, through political and humanitarian efforts How he’s established himself (and his blog) as an authority figure in data science & AI (with 523 resource links and counting) without having a “technical” degree The step-by-step process BRCK takes when incorporating technology into African communities & what he’s learned about challenging his own assumptions while doing so The initial inspiration behind starting the Partially Derivative podcast and why his aim was for it to be the “talk at the bar after the conference” what his newest book -- Machine Learning Cookbook with Python -- is all about, who it’s for, and the gap it addresses for the community Enjoy the show!   Show Notes: https://ajgoldstein.com/podcast/ep8/ Chris’ Twitter: https://twitter.com/chrisalbon AJ’s Twitter: https://twitter.com/ajgoldstein393/

Our guest this week is flashcard kingpin and former Partially Derivative co-host Chris Albon. Topics of discussion include how good it feels not to have a podcast machine learning flashcards being a "natsec bro" whether Chris would punch a Nazi whether Chris would sexually harass a Nazi whether "magister" is a good woke replacement for "master" whether that Andrew Ng job posting is appropriate and whether any of us would apply for it killing your heroes having a day a week without social media treadmill desks Chris's next podcast and somehow Joel gets going on Harry Potter Please listen to it.

The last episode of Partially Derivative for now.

In today's episode, I interview Chris Albon, co-host of Partially Derivative, a fantastic casual discussion podcast about all things data science. Chris is joined by Vidya Spandana and Jonathon Morgan on the show. We discuss the exciting prospects of machine learning and data science in this three part interview! Today's episode is brought to you by Linode. Linode Provides superfast SSD based Linux servers in the cloud starting at $10 a month. Linode is offering Developer Tea listeners $20 worth of credit if you use the code DEVELOPERTEA2017 at checkout. Head over to spec.fm/linode to learn more about what Linode has to offer to Developer Tea listeners .

In today's episode, I interview Chris Albon, co-host of Partially Derivative, a fantastic casual discussion podcast about all things data science. Chris is joined by Vidya Spandana and Jonathon Morgan on the show. We discuss the exciting prospects of machine learning and data science in this three part interview! Today's episode is sponsored by Fuse! Build native iOS and Android apps with less code and better collaboration. Head over to spec.fm/fuse to learn more today!

In today's episode, I interview Chris Albon, co-host of Partially Derivative, a fantastic casual discussion podcast about all things data science. Chris is joined by Vidya Spandana and Jonathon Morgan on the show. We discuss the exciting prospects of machine learning and data science in this three part interview! Today's episode is sponsored by Fuse! Build native iOS and Android apps with less code and better collaboration. Head over to spec.fm/fuse to learn more today!

Today we are delighted to bring you an interview with Matt Might, computer scientist and medical researcher extraordinaire and architect of President Obama's Precision Medicine Initiative. As the Obama Administration winds down, we're talking with Matt about the goals and accomplishments of precision medicine (and related projects like the Cancer Moonshot) and what he foresees as the future marriage of data and medicine. Many thanks to Matt, our friends over at Partially Derivative (hi, Jonathon!) and the White House for arranging this opportunity to chat. Enjoy!

We have the pleasure of bringing you a very special crossover episode this week: our friends at Partially Derivative (another great podcast about data science, you should check it out) recently interviewed White House Chief Data Scientist DJ Patil. We think DJ's message about the importance and impact of data science is worth spreading, so it's our pleasure to bring it to you today. A huge thanks to Jonathon Morgan and Partially Derivative for sharing this interview with us--enjoy! Relevant links: http://partiallyderivative.com/podcast/2016/12/13/dj-patil

With the tryptophan wearing off, this week the Partially Derivative crew discusses how data science knows when you are quitting your job, feeling sad, spreading lies, and much more.