Podcasts about learning machines

What if everything you thought about prototyping was wrong? Many teams rush to validate an idea too soon, but what if the real secret to success is building a studio that learns better? In this episode, Leif Johansen breaks down the myths of prototyping and how studios can create a structured approach to experimenting with game ideas.   Key Takeaways: - Stop Searching for the “Perfect Prototype” – The best teams prioritize many small, fast failures over one high-stakes prototype. - Prototyping Is a Science and an Art – The most successful studios create intentional experiments that map out their design space before committing to a vision. - Build a Learning Machine, Not Just a Game – A strong studio isn't just about good ideas—it's about a team that knows how to test and refine them. - Innovation Comes from Small Fixes, Not Big Ideas – World of Warcraft and Apex Legends didn't just win by reinventing the wheel; they won by refining existing formulas with micro-improvements. - Hiring Too Fast Can Kill Your Game – Too many studios hire for downstream roles (art, animation) before locking in core mechanics, creating inefficiencies and wasted resources.  

Es gibt hunderte Merkmalesmarter Ingenieure.In dieser Folge teile ich 7 kleine Ideen – 7 Denkweisen, an denen du besonders ambitionierte Ingenieure erkennst.Show Notes:>> No Zero Days | Buch für Ingenieure:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠nozerodays.de⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> IntraMBA | Mentoring für Ingenieure:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠intra.mba⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Mentornotes: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠mentorwerk.de/mentornotes⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Tim Schmaddebeck auf LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Hier klicken⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Buchempfehlungen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠mentorwerk.de/buecher⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stichworte zur Folge:Smarte Ingenieure, Growth Mindset, Personal Branding, Karriereentwicklung, Intrapreneurship, Technisches Wissen, Business Skills, Unternehmensstrategie, Fehler vermeiden, Stellvertretendes Lernen, Leadership, Entscheidungsfindung, Produktivität, Bürokratie vermeiden, kontinuierliches Lernen, Exponentielle Lernkurve, Technische Begeisterung, Unternehmerisches Denken, Karriere-Booster, Personal Brand, Erfolgsstrategien, Ingenieure im Unternehmen, Learning Machine, Smart Engineers, Problem Solving, Innovation, Karriere im Easy Modus, Erfolgreiche Ingenieure, Technische Führungskraft, Business Acumen, Smart Engineering

The Magic Mind team created a super offer for me to share with you guys.Get 45% off the Magic Mind bundle with with my link: https://www.magicmind.com/ERICJAN01:06 Chapter 1. Understanding the Structure of Learning.05:06 Chapter 2: Know How to Read Intelligently09:07 Chapter 3. Sharpening Your Memory13:07 Chapter 4. Be Strategic. Stay Organized.17:07 Chapter 5, Mastering MindsetBecome a Studying and Learning Machine: Strategies For the Top of the Class, Promotions, and Smashing Your Goals By Peter HollinsAre you ready to take your learning and studying game to the next level? Look no further than "Become a Studying and Learning Machine - Strategies For the Top of the Class" by Peter Hollins. In this episode, we dive deep into the strategies outlined in Book 27, exploring topics such as the STIC framework, scaffolding content, and the power of play in learning.Hear it Here - adbl.co/4hqQa5qWe'll also discuss how to use successive relearning, REAP methods for effective reading, smart highlighting techniques, and more. Peter Hollins shares his insights on mastering your memory with methods like Blurting and Memory Anchors, helping you stay organized with Zettelkasten and creating a skill tree. We'll even touch upon the importance of mindset and different thinking modes - focused or diffuse.This book and podcast episode will equip you with the knowledge to become a true learning machine. By implementing these strategies, you can expect to see improvements in your productivity, personal growth, and ultimately, your success across all areas of life.Don't miss out on this opportunity to revolutionize your studying habits and achieve your goals faster than ever before. Get your copy of "Become a Studying and Learning Machine" by Peter Hollins today and start your journey towards becoming the top student in your class or field.The best students, the top performers, the quickest learners - it's not by luck. They know what they're doing, and you can be like them too.We've never been taught how to learn. Yet learning is the keystone to any goal you want to achieve. Let's start changing your life with this very book.A learning structure and framework that takes you from A-Z, in what to do and how to approach it.STUDYING AND LEARNING MACHINE takes you on a psychological and physiological journey of your brain and how to work with it best. What your brain likes and hates - that will 1000% impact how quickly and effectively you learn. The more you learn, the more you earn! So let's go on this journey together of how to maximize your time, money, and life path!Master your approach and save countless hours.Peter Hollins has studied psychology and peak human performance for over a dozen years and is a bestselling author. He has worked with a multitude of individuals to unlock their potential and path towards success. His writing draws on his academic, coaching, and research experience.Smarter, faster, and better ways to achieve expertise.-What Descartes had to say about effective reading and retention-How to 'scaffold' content that you read for better memorization-The STIC framework and how it makes your brain want to help you learn better-Understanding various types of thinking modes and when to use each one-Play - how it helps learning and how you can speed up your learning 2x-How to climb a 'skill tree' to keep your progress efficient and effective

In this enlightening episode, we sit down with renowned speaker, trainer, and author Matt DiMaio, the mastermind behind the highly acclaimed YouTube channel ​⁠ With over five decades of experience, Matt knows how to transform the way we learn—taking us from the confines of what school teaches to mastering the art of learning itself!

This episode is sponsored by Reflect. It's the ultra-fast note-taking app that's about to change the way you take notes. To boost your productivity with advanced features like custom prompts and voice transcripts, give Reflect a try by clicking on this link: https://reflect.app/?utm_source=every&utm_medium=sponsorship&utm_campaign=september2024 Simon Eskildsen is a learning machine.  I first interviewed him in 2020 about how he leveled up from an intern at Shopify to the company's director of production engineering by reading and applying insights from hundreds of books. A lot has changed over the last four years. LLMs have made it possible to contextualize information like never before—and in this episode, I sat down with Simon to talk about how this changes the way he learns. Simon is now the cofounder and CEO of AI startup turbopuffer, which is building a search engine that makes vector search easy and affordable to run at scale. We get into: How Simon's learning rituals have evolved over time, as the cofounder of a growing startup and a new parent  The ways Simon has integrated ChatGPT, Claude, and Notion AI to do everything from writing legal documents to maintaining his rural cabin in Quebec  The custom AI commands in productivity tool Raycast that Simon uses to learn new words and cook creative dishes Simon's take on how language models will reshape the future of learning, especially skills like language acquisition, for the next generation  As we talk, we screenshare through his Anki setup, including the flashcard template he finds most useful, and try out his custom AI commands in Raycast to understand the meaning of two of my favorite obscure words, “lambent” and “eigengrau.” This is a must-watch for note-taking aficionados and anyone who wants to supercharge their learning with AI. If you found this episode interesting, please like, subscribe, comment, and share!  Want even more? Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It's usually only for paying subscribers, but you can get it here for free. To hear more from Dan Shipper: Subscribe to Every: https://every.to/subscribe  Follow him on X: https://twitter.com/danshipper  Timestamps: Introduction: 00:01:06 How entrepreneurship and parenthood changed Simon's learning rituals: 00:02:51 How Simon accelerates his learning by using LLMs to find associations: 00:12:59 Simon's Anki setup and the flashcard template he swears by: 00:18:24 The custom AI commands that Simon uses most often: 00:26:02 How Simon uses LLMs for DIY home projects: 00:37:45 Leveraging LLMs as intuitive translators: 00:40:48 Simon's take on how AI is reshaping the future of learning: 00:51:38 How to use Notion AI to write: 00:59:10 The AI tools that Simon uses to write, read, and code: 01:08:53 Links to resources mentioned in the episode:  Simon Eskildsen: @Sirupsen Simon's startup, turbopuffer: turberpuffer.com, @turbopuffer My first interview with Simon in 2020: https://every.to/superorganizers/how-to-build-a-learning-machine-299655  The productivity tool through which Simon uses LLMs, Raycast: https://www.raycast.com/  The other AI tools that Simon is experimenting with: voice-to-text tool superwhisper, copilot for developers Supermaven, code editor Cursor

In this episode, I talk with Kim Hamilton Duffy, the Executive Director of the Decentralized Identity Foundation (DIF). Before her work at DIF, Kim served as the CTO at Learning Machine, an early pioneer in the self-sovereign identity space that was acquired in 2020.We cover a range of topics, including:- The early days at Learning Machine and how they acquired their first customers- The messaging strategies that resonated and the unexpected moves that set them apart, like making it easy for customers to leave- How adoption exceeded expectations at Learning Machine and how that compares to the current decentralized identity landscapeKim offers deep insights from her extensive experience in the digital identity ecosystem, making this a conversation you won't want to miss!You can learn more about DIF on their website: identity.foundation.Subscribe to our weekly newsletter for more announcements related to the future of identity at trinsic.id/podcastReach out to Riley (@rileyphughes) and Trinsic (@trinsic_id) on Twitter. We'd love to hear from you.

In this episode of **Money Grows On Trees: The Podcast**, host Lloyd Ross dives deep into a crucial topic: *The Three Reasons Why People Stay Broke*. Drawing inspiration from the wisdom of the late Charlie Munger, Ross breaks down the fundamental behavioral barriers that prevent financial success. Discover why caring too much about others' opinions, an inability to delay gratification, and a lack of continuous learning are holding you back from achieving your financial goals. Packed with actionable insights and real-world examples, this episode is a must-listen for anyone looking to break free from the cycle of financial stagnation. Tune in now to transform your money habits and start paving the way to wealth!

In this episode, I talk about becoming a learning machine.

How can you help your organization get better at learning and incorporating feedback? And why could it make or break your success? Also in this episode: A key factor in professional success that most young people overlook Five keys to building a curious and driven culture Tips for making smart acquisitions and other partnerships Why the idea of a single founder's bold vision can be problematic The #1 thing leaders can do to bring more stability to their company A controversial take on soup (yes, soup) ——— GO DEEPER Scale up your leadership skills in 2 minutes a day with the How Leaders Lead app — Download today in the App Store Get coaching from David by signing up to receive his Weekly Leadership Plan. It builds on each podcast episode by offering actionable steps you can take each week to incorporate the learnings from the episode into your leadership style. It only takes about 5 minutes and is a great way to start off your week! Subscribe to the How Leaders Lead podcast to ensure you never miss an episode!

In der heutigen Folge erläutert Torben Platzer fünf entscheidende Fähigkeiten, die erfolgreiche Millionäre auszeichnen. Die Definition von „Fähigkeit" wird präzise beleuchtet, bevor er tief in die praktische Umsetzung der folgenden fünf Eigenschaften eintaucht: Zielsetzung, effektives Ressourcenmanagement, ausgeprägte Menschenkenntnis, kommunikative Kompetenz und die sogenannte „Learning Machine". __________ ⁠WhatsApp Broadcast beitreten⁠⁠ Am besten frisch aufgebrüht genießen: Jeden Mittwoch um 18:00 Uhr beleuchtet Torben aktuelle Themen der Gesellschaft, Schwerpunkt Business & Internet. Dabei greift er auf eigene Erfahrungen und Selbstexperimente zurück, erklärt anschaulich und gibt dir offen, ehrlich und vor allem direkt seine Meinung und Bewertung dazu. Torben ist Gründer, Head of Marketing der Branding & Social Media Agentur TPA Media GmbH mit Sitz in München, SPIEGEL Bestseller Autor und eine Internetpersönlichkeit mit über 1 Million Abonnenten. Er hat regelmäßig Gastauftritte im TV, wo er unter anderem bei Pro7 Galileo Technik Gadgets testet oder bei RTL Achtung Verbrechen über Phishing und Hackerangriffe aufklärt. ⁠Impressum⁠ --- Send in a voice message: https://podcasters.spotify.com/pod/show/torbenplatzer/message

In der Nachmittagsfolge begrüßen wir heute Adam Probst, CEO von ZenML, und sprechen mit ihm über die erfolgreiche Erweiterung der Seed-Finanzierungsrunde auf 6,4 Millionen US-Dollar.ZenML entwickelt ein erweiterbares Open-Source-Framework zur Erstellung produktionsreifer Pipelines für maschinelles Lernen. Dabei wird die Komplexität der Infrastruktur für Machine Learning Engineers abstrahiert, ohne sie an einen Anbieter zu binden, da es ein einheitliches Erlebnis auf allen wichtigen Plattformen wie AWS, GCP und Azure bietet. Dies ermöglicht Unternehmen Cloud-übergreifende Workloads effektiv zu verwalten. Darüber hinaus erweitern die bestehenden Integrationen von ZenML mit über 50 ML-Tools, darunter HuggingFace, Weights & Biases und MLflow, die Anpassungsfähigkeit und den Komfort. Dies bietet eine hohe strategische Flexibilität mit Cloud-agnostischen Integrationen. Ein Beispiel für den Wert der Lösung ist die Integration von Orchestrierungstools mit Experiment-Tracking-Tools. Anstatt mit fragmentierten Pipelines zu arbeiten, bietet ZenML einen zentralen Rahmen, der diese Werkzeuge auf kohärente und standardisierte Weise miteinander verbindet. User können mit einem Klick von der lokalen Entwicklung zur Skalierung in die Cloud wechseln. Seit Anfang 2023 hat das Startup außerdem einen vollständig verwalteten Cloud-Service für eine ausgewählte Gruppe von Kunden. Dieser Dienst baut auf dem Open-Source-Kern auf und erweitert dessen Fähigkeiten um umfassende Funktionen wie Single Sign-on, rollenbasierte Zugriffskontrolle und Delivery-Integrationen. ZenML wurde im Jahr 2021 von Adam Probst und Hamza Tahir in München gegründet.Nun hat das Open-Source-Framework eine Erweiterung der Seed-Runde um 3,7 Millionen US-Dollar auf 6,4 Millionen US-Dollar bekannt gegeben. Die Erweiterung wurde von Point Nine angeführt und von dem bestehenden Investor Crane unterstützt. An der Investitionsrunde beteiligten sich Business Angels wie D. Sculley, CEO von Kaggle, Harold Giménez, SVP R&D bei Hashicorp sowie Luke de Oliveira, ehemaliger Direktor für maschinelles Lernen bei Twilio. Das frische Kapital soll die Einführung von ZenML Cloud unterstützen.

Join Richard C. Wilson, Founder of Family Office Club, as he shares his thoughts from Vienna, Austria. In this video, Richard emphasizes the importance of continuous learning for both ultra-wealthy individuals and those beginning their capital-raising journey. Discover the value of networking, strategic deal-making, efficient structuring, and niche specialization as Richard explains how these elements contribute to lasting success. 00:00 Introduction from Vienna, Austria: Exclusive Event for High Net Worth Individuals 00:10 The Mission of Our Investor Club: A Perpetual Learning Machine00:20 Learning from Each Other: Tax Strategies, Deal Structuring, and Negotiation00:39 Building Success Together00:52 Join Our Community: Explore Membership at Family Office Club https://familyoffices.com/#billionarie #familyoffices  #investor #privateinvestors #capitalraising #funding   #investorclub   -----------------Our 16-year-old investor club, the Family Office Club, has 25 team members, 2 million social followers, has closed on over $500M of transactions, has over 4,000 active investors, and hosts 15 live events a year.  To join our investor club as a capital raiser or CEO of a company needing capital to access our live community events, please visit https://FamilyOffices.comTo register with us as an investor to access live community events please visit https://InvestorClub.comWe have free web classes and books for you to download on https://lp.FamilyOffices.com/book + https://CapitalRaising.com To date, our podcast and YouTube content has been downloaded over 5 million times.  Please subscribe to this channel as well as our Family Office Podcast so you do not miss our most popular mini-series content https://www.youtube.com/@FamilyOfficeClub

Seth and Ken run through their experiences implementing Machine Learning for different application security activities. A break down the duo's experience at DEF CON 31, interesting talks, and happy hour results.

In this video, we'll unravel the importance of investing in specialized knowledge and how it can open doors to unlimited opportunities. As technology and industries rapidly evolve, the value of broad expertise is being surpassed by deep, specialized knowledge. Click here to watch the full video on why it's s important to invest in specialized knowledge.#billionarie #familyoffices  #investor #privateinvestors #capitalraising #funding   #investorclub   -----------------Our 16-year-old investor club, the Family Office Club, has 25 team members, 2 million social followers, has closed on over $500M of transactions, has over 4,000 active investors, and hosts 15 live events a year.  To join our investor club as a capital raiser or CEO of a company needing capital to access our live community events, please visit https://FamilyOffices.comTo register with us as an investor to access live community events please visit https://InvestorClub.comWe have free web classes and books for you to download on https://lp.FamilyOffices.com/book + https://CapitalRaising.com To date, our podcast and YouTube content has been downloaded over 5 million times.  Please subscribe to this channel as well as our Family Office Podcast so you do not miss our most popular mini-series content https://www.youtube.com/@FamilyOfficeClub

Show Description: In this episode of the podcast, we connect on various aspects of life, from personal anecdotes and important life lessons to professional development and wellness tips. We provide some recent life updates , including Slager's unexpected lessons from a short-term water outage and Tim's bachelor party recap. You'll hear about Tim's exciting work with the LEAP Program, and how he's integrating journaling into his daily routine. Slager reveals his recent podcast experience discussing male emotions and spirituality, and his tactical approach to content scheduling. Lastly, we share valuable nuggets on becoming a self-reliant learner at work, dealing with rib injuries, and taking inspiration from stoic philosophy and Atomic Habits by James Clear. Tune in for an episode filled with humor, valuable lessons, and a fresh perspective on personal growth. Show Notes: Introduction - 3:00 - 21:45: We start by catching up on recent happenings in our lives. Slager shares a critical lesson he learned about gratitude and perspective after a brief period without running water. We also recap a bit of Tim's bachelor party, including golf and a memorable tour of the Woodford Distillery. Life and Business Updates - 21:45 - 32:00: We dive into Tim's latest life and business updates. Tim talks about his imminent wedding, recent golf and pickleball ventures, and a rewarding workshop he conducted with the LEAP Program for ReSource, a Vermont Non-Profit. He shares how the experience sharpened his public speaking skills and how he tailored his career development tips to resonate with a younger audience. Slager's Podcast Experience - 32:00 - 42:00: Slager recounts his recent appearance on the Cup of Joy podcast, where he discussed controlling emotions and expressing spirituality from a man's perspective. He highlights the importance of men expressing their emotions and seeking help. Becoming a Learning Machine - 42:00 - 50:00: We discuss practical strategies to enhance learning in the workplace, especially when your manager may not know how to train you. From initiating discussions with your manager, utilizing internal resources, to leveraging external knowledge resources, we discuss numerous tactics to foster self-growth. Slager's Business Update - 50:00 - 55:00: Slager provides a business update, focusing on his efforts in scheduling content. He shares how structuring content for different days and platforms forces a methodical approach to content creation. Wellness Tip - 55:00 - 57:00: Slager shares some minimal yet effective strategies for managing rib injuries, drawn from his personal experience with Jiu-Jitsu. Tim's Book Talk - 57:00 - 1:05:00: Tim discusses stoic philosophy, highlighting an impactful quote from Marcus Aurelius about where to invest your energy and time. He provides insight into how to apply these principles in both personal and professional contexts. Slager's Book Talk - 1:05:00 - End: Slager shares valuable insights from the book "Atomic Habits" by James Clear. He breaks down the "habit loop," discusses ways to break bad habits and create good ones, offering a compelling close to our conversation.

איתי הוא דוקטור למדעי המחשב (אבל היי! עם תואר ראשון בהנדסת חשמל ופיזיקה) שבא להסביר בשפה שכל מהנדס יבין - מה זה למידת מכונה, אינטליגנציה מלאכותית ולמה הם לא אותו הדבר.על מה דיברנו?ההיסטוריה של אינטליגנציה מלאכותיתמה זה בכלל למידת מכונהמה זה רשת נוירונים. גם קונספטואלית וגם איך מממשים אחתאלגוריתמים לאימון רשתותגישות שונות לפיתוח רשתמהו תהליך ההסקה ומה חשוב בו ביחס לתהליך האימוןלמה הנושא המדובר התפוצץ בשנים האחרונות?בקבוצת המאזינים בווטסאפ יש ספוילרים לפרקים עתידיים >>>https://chat.whatsapp.com/KwUu8pQsxx220qS7AXv04T

If you desire growth in your work and career, then, building a culture of learning is an important venture to embark on. In this episode, let us explore practical steps to turning yourself to a learning machine.

Omar Rayward attended one of the first ever coding bootcamp cohorts, now he's a Senior Staff Software Engineer. Oz and Charlie connect with Omar about his study habits, motivation, and whatever else it takes to keep up his consistent learning habits.Shownotes:How to be consistent (Oz's recent article, featuring Omar!)

Brick Institute eğitimleri, deneyimli eğitmenleri ve seçkin katılımcılarıyla birlikte Ürün Yönetimi Temelleri, Ürün Analitiği ve Ürün Liderliği programları çok yakında başlıyor. Bu eğitimler, gerçek hayat uygulamaları ve vaka çalışmaları üzerine odaklanarak, ürün yönetimi alanında uzmanlaşmak, ürün geliştirme süreçlerini kuvvetlendirmek isteyenler için oluşturuldu.Kontenjan sınırlıdır, bu nedenle hemen www.brick.institute adresinden başvuru yaparak yerinizi garantileyin ve eğitime katılmak için kaydolun!----Üretim Bandı'nın Slack grubu olduğunu biliyor muydunuz? 2700'den fazla ürün yöneticisi, girişimci, yazılımcı, tasarımcının bir arada bulunduğu aktif ürün topluluğuna siz de katılın:>>> uretimbandi.com/slackİki haftada bir yayınladığımız, ürün geliştirmeyle alakalı bültenimizi de aşağıdaki linkten takip edebilirsiniz:>>> uretimbandi.com/bulten----KONUKAmir Salihefendic: https://www.linkedin.com/in/amix3k/LINKLERBrick Institute: http://brick.institute/Ambition & Balance: https://blog.doist.com/ KONUŞULANLAR(00:00) Beginning(04:55) Working Long Term(08:18) Systems for Goals(10:40) Team Structures(15:10) Prioritizing the Needs(16:15) Defining Success for Maintenance Teams(18:30) Building a Roadmap(25:05) Transferring Know-How(29:45) Working as Detail Oriented(35:15) Ambition and Balance (Company Blog)(39:50) Recommendations for Entrepreneurs(41:40) Becoming a Learning Machine

In this episode I talk about learning.

Got a book under the tree this Christmas? Ready to boot up on new skills heading into a new year of work? Here are our tips on becoming a learning machine, by focussing on just-in-time learning, optimising for the ‘aha' moments, and getting rid of unfinished book guilt! — Jump to: (03:08) Focus on getting the "aha's", not reading books back-to-front (06:32) Connect learning to pain (just-in-time learning) (08:34) Start by 'snacking' content (12:24) Ask trusted people (13:28) Thoughts on Blinkist (14:54) Summary — Connect with Us: Michael Momsen (linkedin.com/in/michaelmomsen) Kai Lovel (linkedin.com/in/kailovel) Feedback, ideas or career questions? Send us an email - kai@zipline.io Zipline.io is a fast-growing RegTech startup solving frontline compliance challenges in healthcare. More at https://zipline.io

Pat Paalam a.k.a. ACE P, XRP Ronin, 432 HZ and the host of the YOSIBREAK podcast - is a regular here. This time his been keeping a low key and managed to stay off being censored on Social Media Platforms. His big into Self -Development & becoming a LEARNING MACHINE. His profound love for learning is a an important message to keep on repeat; cause the moment we stop is the moment we start dying. Pat Paalam has been around and on this podcast for the 5th or so time! Show Pat some love on his ART / Music / Platforms Spotify YosiBreak Podcast & ACE P Instagram @pxpxxlxm Rarible NFT 432 HZ ---------------------------------- Follow us on our Socials FB: TheHugeUpside IG: @huge_upside Tiktok: @huge_upside Twitter: @huge_upside Discord: THE DISCONNECTED

You Are Born With All The Tools You Need To Learn A New Language You are born with the ability to learn any language. It doesn't matter where you are born on this planet, for most of us within a few short years, you are processing and ready to speak a new language. Amazing. Have you thought about how our brains store that language? What about people with more than one language? Today's podcast is really interesting! ✔Lesson transcript: https://adeptenglish.com/lessons/learn-english-language-amazing-language-brain/ We are going to look at how the brain processes language and how it stores it. And we'll also talk about what happens when someone has two languages. It turns out that the brain is an amazing machine for processing language. Our brains are constantly making connections, processing information, and creating new neural pathways. We do it when we memorize a poem or learn a new language. We are hard-wired to learn. It's nice to see some language learning research data will encourage all of us language learning students.

Dave Court is an Adelaide based artists who's work spans across multiple mediums. His vibrant bright coloured works blur the boundaries between graphics art, sculpture, digital and painting. Ranging from small hangable works to large, all encompassing, multi sensory installations. Dave has recently been incorporating the use of AI image generating technology. His current exhibition titled “Learning Machine” is on show at Backwoods gallery, Collingwood. Opening night this Friday 23rd September. Instagram: @dave.court www.davecourt.art

The GENIUS of Charlie Munger | 6 New Traits explained by Mohnish Pabrai | 2022 | Watch the full video on our Youtube at: https://www.youtube.com/watch?v=oSyiAAQXaC4

Machine learning using artificial neural networks is revolutionizing many areas of science and technology. This increases the urgency for exploring alternatives to artificial neural networks running on digital hardware. These alternatives might eventually be faster and/or more power-efficient. With this in mind, we ask the question whether one can identify a general principle that would enable a nonlinear physical system to become a self-learning machine - i.e. a physical information-processing device where internal degrees of freedom self-adjust by physical interactions to learn a desired input-output relation. In this talk, I will present our recent idea on how this might be achieved for arbitrary time-reversal-invariant Hamiltonian systems. I will introduce the principle of 'Hamiltonian Echo Backpropagation', and demonstrate how efficient learning could be possible in a wide class of physical systems. See: Self-learning Machines based on Hamiltonian Echo Backpropagation, Victor Lopez-Pastor, Florian Marquardt, arXiv 2103.04992 (2021)

Listener Nate is fascinated by DALL-E 2, but doesn’t know where to start. How can you get into ML/neural net technology and what are good tricks for making the most of self-driven coding education? Send your project questions/ideas to neshcom@gmail.com, subject line “After Things.” Picks: Andrew: Fireship on YouTube Brian: The Book of Niall from […]

Learning Machine is a podcast about the uncertain future of education, and this season, season three, is our EdTech season. We want to know how technology is transforming the classroom, for better - and for worse.  Join us each episode for conversations with experts in the EdTech arena, from teachers, to researchers, to CEOs, and join us online to discuss our weekly debate topic.  To find out more about our podcast, visit us at www.learningmachinepodcast.comSupport the show (https://www.patreon.com/LearningMachine)

Show 95 Title: “Farrow Covid-Brain” Guest: Dave Farrow :30 Intro the Dave Farrow 1:50 Issues with the brain 4:40 Love, Life and Lucille 6:00 Brain training 7:00 Adolescents 8:00 Learning machines 10:30 Covid brain fog 13:30 Veterans 17:00 Music 20:00 Grief 22:30 ADHD Hacks 27:00 Left brain and Right brain   The Stay Young America podcast is brought to you by Executive Medicine of Texas a leader in preventative and proactive medicine. People fly in from around the globe for executive physicals and age management learn more about Executive Medicine of Texas by going to EMTexas.com. Website: StayYoungAmerica.com Twitter: @stayyoungpod Facebook: Stay Young America!   Join us next time as we bring Dave Farrow back for mind over body brain hack with Dave Farrow. http://brainhackers.com/

Natalie Smolenski leads business development for Hyland's blockchain-based content services solutions. She was the founding business development executive for Learning Machine, a Texas-based startup specializing in blockchain-anchored digital records, which exited to Hyland in 2020. As Chair of the Board of the Texas Blockchain Council, she works to advance public policy friendly to blockchain technology and the blockchain industry. Natalie is a trained anthropologist whose independent research focuses on the intersections of identity, technology, and government. By bringing a scientific perspective to distributed digital technologies and social transformation, she helps audiences from all backgrounds understand how individuals connect to form communities and build the infrastructures of the future.Natalie and I discuss the sound money use case captured by Bitcoin, value, and how to cultivate a society that knows how to think. www.nataliesmolenski.comvalued.nataliesmolenski.comTwitter: @NSmolenskiLinkedIn:  https://www.linkedin.com/in/nataliesmolenskiHost, Earlina Green Hamilton 

En este episodio, te impulso a convertirte en una máquina de aprender, cuestión de que puedas descargar los códigos más imperativos para tu éxito en tu realidad. Todo lo promocionado: https://linktr.ee/derekisraeloficial ____ Subscríbete al Master Mind Podcast para un contenido simplemente… transformador. ––– Únete al Master Mind Podcast Challenge: Season 2 aquí: Youtube: https://youtube.com/playlist?list=PLCDBAfJjwmZZnejMOYFT4E07_OHocTEn0 Spotify: https://open.spotify.com/playlist/2DHHBvtnQdToXkjyeVMZ0N?si=Yf3WKgLaSv2OD4pC9cxlEA ––– Escucha al Mind Podcast en: Spotify: https://open.spotify.com/show/3X6GDILl7fPfi4ljggW7tm Soundcloud: https://soundcloud.com/mastermindpodcast Apple Podcasts: https://podcasts.apple.com/us/podcast/master-mind-podcast/id1493740847?uo=4 Youtube: www.youtube.com/derekisraeloficial ____ Productos y servicios: www.derekisrael.com Correos exclusivos: https://www.derekisrael.com/newsletter ____ Master Mind Podcast Challenge: Season 1: Youtube: https://www.youtube.com/watch?v=BlHiOXoAqZM&list=PLCDBAfJjwmZZtiGbs2KB3CX6HfL6dGfXz Spotify: https://open.spotify.com/playlist/40adZpPnFdmOVAJnzW8vPF?si=-w20QuL8TxSjKjF0T_WWMg ––– Escuchar todos los episodios de #DescargandoLaMente: https://youtube.com/playlist?list=PLCDBAfJjwmZaufspvLL8Y-NnXSjW1S38R ____ Intro Music: Adhesive Wombat – Night Shade ___ Advertencia: Las recomendaciones provistas no tienen garantía. Las mismas no son asesorías médicas ni psicológicas. Al escucharlas y aplicarlas aceptas el 100% de la responsabilidad ante todas las consecuencias.

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Ritual Report: NYC Less Wrong Solstice Celebration , published by jacob_cannell on the LessWrong. This article presents an emerging architectural hypothesis of the brain as a biological implementation of a Universal Learning Machine. I present a rough but complete architectural view of how the brain works under the universal learning hypothesis. I also contrast this new viewpoint - which comes from computational neuroscience and machine learning - with the older evolved modularity hypothesis popular in evolutionary psychology and the heuristics and biases literature. These two conceptions of the brain lead to very different predictions for the likely route to AGI, the value of neuroscience, the expected differences between AGI and humans, and thus any consequent safety issues and dependent strategies. Art generated by an artificial neural net (The image above is from a recent mysterious post to r/machinelearning, probably from a Google project that generates art based on a visualization tool used to inspect the patterns learned by convolutional neural networks. I am especially fond of the wierd figures riding the cart in the lower left. ) Intro: Two viewpoints on the Mind Universal Learning Machines Historical Interlude Dynamic Rewiring Brain Architecture (the whole brain in one picture and a few pages of text) The Basal Ganglia Implications for AGI Conclusion Intro: Two Viewpoints on the Mind Few discoveries are more irritating than those that expose the pedigree of ideas. -- Lord Acton (probably) Less Wrong is a site devoted to refining the art of human rationality, where rationality is based on an idealized conceptualization of how minds should or could work. Less Wrong and its founding sequences draws heavily on the heuristics and biases literature in cognitive psychology and related work in evolutionary psychology. More specifically the sequences build upon a specific cluster in the space of cognitive theories, which can be identified in particular with the highly influential "evolved modularity" perspective of Cosmides and Tooby. From Wikipedia: Evolutionary psychologists propose that the mind is made up of genetically influenced and domain-specific[3] mental algorithms or computational modules, designed to solve specific evolutionary problems of the past.[4] From "Evolutionary Psychology and the Emotions":[5] An evolutionary perspective leads one to view the mind as a crowded zoo of evolved, domain-specific programs. Each is functionally specialized for solving a different adaptive problem that arose during hominid evolutionary history, such as face recognition, foraging, mate choice, heart rate regulation, sleep management, or predator vigilance, and each is activated by a different set of cues from the environment. If you imagine these general theories or perspectives on the brain/mind as points in theory space, the evolved modularity cluster posits that much of the machinery of human mental algorithms is largely innate. General learning - if it exists at all - exists only in specific modules; in most modules learning is relegated to the role of adapting existing algorithms and acquiring data; the impact of the information environment is de-emphasized. In this view the brain is a complex messy cludge of evolved mechanisms. There is another viewpoint cluster, more popular in computational neuroscience (especially today), that is almost the exact opposite of the evolved modularity hypothesis. I will rebrand this viewpoint the "universal learner" hypothesis, aka the "one learning algorithm" hypothesis (the rebranding is justified mainly by the inclusion of some newer theories and evidence for the basal ganglia as a 'CPU' which learns to control the cortex). The roots of the universal learning hypothesis can be traced back to Mountcastle's discovery of the simpl...

Commentary by Dr. Valentin Fuster

In this episode I talk about who I learned from and what I learned. The sheer variety of types of guys and groups will surprise you. I highly recommend you open your mind as far as possible to become a MGTOW Learning Machine!

For a while now, machines have been inseparably tied to our lives. The algorithms on Google, Netflix, Amazon, Xbox, and Tinder have run your life unwittingly. Machines are digesting data that you willingly share with them. Artificial intelligence has also impacted healthcare, from the development of vaccines to the search for a cure for cancer. Machine learning is transforming every aspect of our lives, but what is AI's ultimate foundation?Author and AI expert Pedro Domingos discusses machine learning's five tribes in his book Master Algorithm. During this episode, Pedro shares how the ultimate algorithm can derive knowledge about the past, the present, and the future from data. Listen as he and Greg tackle why such an algorithm should exist and compelling arguments from neuroscience, evolution, physics, statistics, and other branches of computer science.Episode Quotes:Are computer scientists the new age philosophers?I don't think scientists could have supplanted the psychologists and philosophers, and so on. I do think, however, that computer science and machine learning, in particular, changes the way we do everything in a very profound way. If you look at science, more than anything else, its progress is determined by the tools that are available. Galileo was Galileo because he had the telescope. No telescope, no Galileo, and the examples go on. And the thing is that computers are the most extraordinary tool for science, among other things. But for science in particular that we have ever created, they magnify our ability to do things in a way that was —I think — hard to imagine, even 50 years ago.Is machine learning just a bunch of different tools, all trying different approaches to solve the same problems?At the end of the day, the best algorithm is almost never any existing one. What a machine learning algorithm does, it's not magic. It's incorporating knowledge, and knowledge will be different in different domains. There are broad classes of domains where the same knowledge is relevant, and indeed different paradigms tend to do well in different problems. So, deep learning does very well at perceptual problems because, again, you know, these things were inspired by the neurology of the visual system, and et cetera, et cetera.Is the evolutionary model applicable and aligned with what's happening in AI and will there be obstacles in pursuing this line of thinking?There's more to be discovered about how evolution learns. And by the way, there's more to be discovered for the purposes of AI and also for the purposes of understanding evolution. I actually think that if someone really had a supercomputer, that could simulate evolution over a billion years. With the model of evolution that we have today, it would fail. It wouldn't get there. There are some mechanisms that also evolved. But again, this is this interesting series of stages, right? Even within evolution, there are levels of how evolution works. And I think there's a lot of that, that we still don't understand. But we will at some point, and I think that will be beneficial both for biology and for AI.Time Code Guide:00:03:06 How A.I. is revolutionizing the way we think00:04:31 Tycho Brahe stage00:06:44 Is the unified field theory of machine learning the same as the general approach to learning?00:09:11 Computers represent the fourth stage of learning and transmission of knowledge, do you think it's a discontinuity from the first three stages, which all seems to be natural phenomenon?00:10:21 The emergence of AI, life, evolution of the nervous system, and cultures00:12:01 The speed at which computers communicate and facilitate the transfer of Knowledge00:13:10 Possibilities and ways you can play with the computer's processing capacity00:14:29 How did we leap from the AI winter to the AI boom that we have today?00:17:25 Learning machines and self-driving cars00:18:48 AI and Linguistics00:19:33 Do each AI ‘tribe' have a singular view of pursuing a particular approach in AI without acknowledging that it can have limitations later on?00:24:54 One paradigm in AI and Master Algorithm00:27:13 The Rise of the Connectionist00:28:00 What's next for AI?00:33:37 Is it possible to automate the trial and error process and have an algorithm where we learn how to learn?00:37:49 Is the evolutionary model doing anything for AI, and what are the obstacles in this line of thinking?00:41:53 How do we know whether a school of ideas is dead or simply dormant?00:43:01 How do you advance interdisciplinary learning within the different school of thoughts in AI?00:44:24 Thoughts on Geoff Hinton's work and back propagation00:46:22 Is there a guidebook to creating a unified theory?00:48:11 AGI, AI and humans00:51:01 Automating the Scientific Process00:52:26 Thoughts on the Future of AIShow Links:Guest ProfileAcademic ProfileProfile at the International Telecommunications UnionPedro Domingos on TwitterHis WorkPedro Domingos on Google ScholarThe Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our WorldMarkov Logic: An Interface Layer for Artificial Intelligence (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Series One of Learning Machine is in the books! It's been such an insightful and edifying experience to work on our eight interview episodes from our first series. We've learned a lot through the process - both about the education system and about how to produce a podcast - and we're excited to bring that new knowledge forward with us as we begin work on Series Two! As part of that work, we're excited to introduce our new co-host, Raven DeRamus-Byers.  Raven works in education policy at New America, and she'll be bringing her depth of experience and outlook to bear on the topics we cover in upcoming episodes. In this episode, our Finale for the first series, we've invited Raven to come and chat with us about some of our favorite quotes from our guests. If you'd like to check out any of the interviews referenced in this episode, check out the full series on Spotify, Apple Podcasts, or visit our website at www.learningmachinepodcast.comThanks for listening this Series! We'll be back in October with Series Two. In the meantime, you can connect with us on Twitter, Instagram, and Reddit and we'll be continuing to drop some extra content in the intervening weeks. Drop us a line or send us a tweet to let us know what you think of our work, or who you think we should interview for an upcoming episode. Support the show

I am sure you would have heard this term ‘Learning machine' to talk about oneself or others. The first time I heard something similar to this was probably in the movie First Blood where they refer to Rambo as a ‘Killing Machine'. We have come a long way from aspiring to be a ‘Killing Machine' to being a ‘Learning Machine'. Listen to my new podcast 'The Minimal Agilist' https://anchor.fm/minimalagile. Join our Community of Active Learners: https://www.penpositive.com/ Connect on Social Media: Instagram: https://www.instagram.com/penpositive/ YouTube: https://www.youtube.com/penpositive Twitter: https://twitter.com/penpositive Facebook: https://www.facebook.com/penpositive Blog: https://vinodnarayan.com/ Clubhouse: https://clubhouse.com/@vinodnarayan --- Send in a voice message: https://anchor.fm/penpositive/message Support this podcast: https://anchor.fm/penpositive/support

Learning Machine launches with four episodes from Series One on July 15th! Learning Machine is a podcast about the uncertain future of education! Series One will feature a total of eight episodes, each featuring a researcher, policy expert, or practitioner in the field of education.  In this trailer, you'll hear four of our guests from this series answering the question, "What is the purpose of the education system?" Guests in order of appearance in this trailer are Karin Wu (The Mind Research Institute), Bree Dusseault (Center for Reinventing Public Education), Tim Truitt (EdReports.org), and Deidra Reed (The New Teacher Project). To find out more about our podcast, visit us at www.learningmachinepodcast.comSupport the show (https://www.patreon.com/LearningMachine)

As a 25+ year veteran of education technology, Elliott Levine has seen a lot of change. In his new role with Qualcomm, he has the opportunity to affect more change than ever before. In this episode of EdTech Today, Elliott outlines the challenges that lie ahead for post-pandemic issues and, more importantly, the solution to meet those challenges.One aspect of his efforts include Qualcomm Wireless Reach, a program that brings advanced wireless technologies to underserved communities globally. Wireless Reach enriches people's lives through programs that strengthen economic and social development. Since 2006, Wireless Reach has impacted more than 20 million people.Education is a key driver for growth, economic development and the advancement of societies. Wireless technologies can bring high-quality education to all communities, regardless of income status or location. Wireless Reach supports the potential of “always on, always connected” mobile devices to dramatically improve teaching and learning.The Qualcomm Wireless Reach Initiative is part of the corporation's 2020 Corporate Responsibility Report, which reports on the Company's environmental, social and governance (ESG) performance in 2020. The report notes the Company has met or exceeded its 2020 goals and unveils 2025 Corporate Responsibility targets which will serve to help drive progress towards the Company's 2030 vision and continue to advance in key ESG areas, including: diversity and inclusion; purposeful innovation; STEM education; supply chain management, greenhouse gas emissions reduction; and product power efficiency.“We have had many successes over the last year despite the unforeseen challenges of 2020. As we continue to work toward our 2030 Vision, I am proud to report we successfully met or exceeded our 2020 corporate responsibility goals,” said Steve Mollenkopf, Chief Executive Officer, Qualcomm Incorporated. “As we look forward, we have established 2025 quantitative targets and are focused on building a more diverse workforce, being a responsible corporate citizen, integrating sustainability into every aspect of our business and using the Company's breakthrough technologies to transform industries, help build a more resilient economy, and catalyze social change for billions of people across the globe.”

Radek Osmulski is a fully self-taught machine learning engineer. After getting tired of his corporate job, he taught himself programming and started a new career as a Ruby on Rails developer. He then set out to learn machine learning. Since then, he's been a Fast AI International Fellow, become a Kaggle Master, and is now an AI Data Engineer on the Earth Species Project. Learn more about Radek: https://www.radekosmulski.com (https://www.radekosmulski.com) https://twitter.com/radekosmulski (https://twitter.com/radekosmulski) Every Thursday I send out the most useful things I've learned, curated specifically for the busy machine learning engineer. Sign up here: http://cyou.ai/newsletter (http://cyou.ai/newsletter) Follow Charlie on Twitter: https://twitter.com/CharlieYouAI (https://twitter.com/CharlieYouAI) Subscribe to ML Engineered: https://mlengineered.com/listen (https://mlengineered.com/listen) Comments? Questions? Submit them here: http://bit.ly/mle-survey (http://bit.ly/mle-survey) Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/ (https://www.givingwhatwecan.org/) Timestamps: 02:15 How Radek got interested in programming and computer science 09:00 How Radek taught himself machine learning 26:40 The skills Radek learned from Fast AI 39:20 Radek's recommendations for people learning ML now 51:30 Why Radek is writing a book 01:01:20 Radek's work at the Earth Species Project 01:10:15 How the ESP collects animal language data 01:21:05 Rapid fire questions Links: https://gumroad.com/l/learn_deep_learning (Radek's Book "Meta-Learning") https://www.coursera.org/learn/machine-learning (Andrew Ng ML Coursera) https://www.fast.ai (Fast AI) https://arxiv.org/abs/1801.06146 (Universal Language Model Fine-tuning for Text Classification) https://www.kdnuggets.com/2018/03/machine-learning-efficiently.html (How to do Machine Learning Efficiently) https://www.npr.org/2020/02/25/809336135/two-heartbeats-a-minute (NPR - Two Heartbeats a Minute) https://www.earthspecies.org/ (Earth Species Project) https://www.goodreads.com/book/show/5617966-a-guide-to-the-good-life (A Guide to the Good Life) https://store.hbr.org/product/the-origin-of-wealth-evolution-complexity-and-the-radical-remaking-of-economics/777X (The Origin of Wealth) https://maketime.blog (Make Time) https://plumvillage.org/books/you-are-here/ (You Are Here)

Rob interviews  Dane and goes into detail about the Zygon start-up more than 30 years ago and today, the core technology, the government shutdown of the Learning Machine project, and what the catalyst was for developing the new streaming service. How it works, what people can expect to see coming out in the near future. 

Rob interviews  Dane and goes into detail about the Zygon start-up more than 30 years ago and today, the core technology, the government shutdown of the Learning Machine project, and what the catalyst was for developing the new streaming service. How it works, what people can expect to see coming out in the near future. 

Rob interviews Dane and goes into detail about the Zygon start-up more than 30 years ago and today, the core technology, the government shutdown of the Learning Machine project, and what the catalyst was for developing the new streaming service. How it works, what people can expect to see coming out in the near future.

Did we invent computers, robots, and A.I. because we are fundamentally lazy? It may look like it, but that is not the technological driver. On the opposite side, it has to do with doing more, faster, more effectively, and going above and beyond our human capabilities.This same thing can be said of a carved stone used as a tool by our ancestors, the wheel, electricity, engines, airplanes, and of the most advanced technologies of today and tomorrow.Most of us do not realize it, but at the core of all the digital technology we use today, there are algorithms, and those are the things that are driving a big part of our everyday life — from buying online to moving around — but it's not just in cyberspace. Our whole day — from the moment you wake up to the moment you fall asleep—is suffused with machine learning.In this podcast, we discover what the engine is that drives Machine Learning and what its fuel is — spoiler alert: data, and a lot of it.Our guest is Professor Pedro Domingos from the University of Washington, who wrote a book called The Master Algorithm. As dystopian as that may sound, it is actually quite the opposite.  "The book is a thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own.In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask.In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible."We hope you will join us in the quest to discover what this Master Algorithm really means and what it can do for us. We do this constructively and positively, with hope and excitement for a better future, but with an eye open to the risk that may come if we cannot control its outcome — if and when AI can do much more than what it already can. Which is not that little.Let's go!GuestPedro Domingos, Professor of computer science at the University of Washington and author of 'The Master Algorithm' (@pmddomingos on Twitter)This Episode's SponsorsBlackCloak: https://itspm.ag/itspbcwebRSA Security: https://itspm.ag/itsprsawebResourcesView Pedro's work as a professor: https://homes.cs.washington.edu/~pedrod/View Pedro's book, The Master Algorithm, How the Quest for the Ultimate Learning Machine Will Remake Our World: https://www.basicbooks.com/titles/pedro-domingos/the-master-algorithm/9780465061921/To see and hear more The Cyber Society content on ITSPmagazine, visit:https://www.itspmagazine.com/the-cyber-societyTo see and hear more Redefining Technology stories on ITSPmagazine, visit:https://www.itspmagazine.com/redefining-technologyAre you interested in sponsoring an ITSPmagazine Channel?https://www.itspmagazine.com/podcast-series-sponsorships

You've heard of AI and machine learning. But what makes machines actually learn? How do you build a learning machine that helps your business? During this episode of Startup Hustle, Matt DeCoursey has a conversation with David Karandish, the CEO and Founder of Capacity, a St. Louis based, AI drive Help Desk startup. Learn more about the different phases and levels of machine learning and AI, and a whole bunch of stuff you probably didn't know about learning machines.   This episode is sponsored by, Full Scale: https://fullscale.io/   Follow us on Instagram: https://www.instagram.com/startuphustlepodcast/   Find Startup Hustle on Facebook: https://www.facebook.com/startuphustlexyz/   Visit Our YouTube Channel https://www.youtube.com/channel/UCDXy14X95mzCpGSHyDvvoVg   Suggest a Guest: https://fullscale.io/contact-us/     Learn more about:   Capacity https://capacity.com/   Full Scale: https://fullscale.io/   See omnystudio.com/listener for privacy information.

Want to level-up your skills in machine learning and software engineering? Subscribe to our newsletter: https://mlengineered.ck.page/943aa3fd46 (https://mlengineered.ck.page/943aa3fd46) Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/ (https://www.givingwhatwecan.org/) Subscribe to ML Engineered: https://www.mlengineered.com/listen (https://www.mlengineered.com/listen) Follow Charlie on Twitter: https://twitter.com/CharlieYouAI (https://twitter.com/CharlieYouAI) Timestamps: (03:00) How did I get exposed to computer science and what made me pursue it? (10:00) Why machine learning? (15:10) How did I learn ML? How would I recommend someone do it today? (27:00) Why start this podcast? What is the goal? (29:40) Rapid-fire questions Links:  https://www.notion.so/charlieyou/Content-Pipeline-af923f8b990646369a85a00a348a1e12 (Marc Andreeson: Software is eating the world)  https://breakingsmart.com/en/season-1/ (Breaking Smart)  https://www.coursera.org/learn/machine-learning (Andrew Ng's ML course)  https://www.deeplearning.ai/ (deeplearning.ai)  http://web.stanford.edu/class/cs224n/ (Stanford CS224n)  http://cs231n.stanford.edu/ (Stanford CS231n)  https://vark-learn.com/ (VARK Learning Styles)  https://www.deeplearningbook.org/ (Deep Learning textbook)  https://course.fast.ai/ (FastAI Practical Deep Learning for Coders)  https://nav.al/ (Naval Podcast)  https://www.swyx.io/writing/learn-in-public/ (swyx: Learn in Public)  https://podcastclub.link/ (Seth Godin Akimbo Podcast Workshop)  https://www.amazon.com/Meditations-New-Translation-Marcus-Aurelius/dp/0812968255 (Marcus Aurelius: Meditations)  https://www.amazon.com/ONE-Thing-Surprisingly-Extraordinary-Results/dp/1885167776/ (The ONE Thing)

You can usually tell in the first few minutes of a podcast how well it's going to go.  So when David Cancel, CEO of Drift, answered my first question around learning with “Yes, this is my obsession…” I knew I was in for a good one.   I mean, how often do you hear that someone's obsessed with learning?  You're more likely to hear of someone's obsession with Tiger King than with learning.  But Cancel takes learning seriously.  He reads, listens to podcasts and connects with mentors with laserlike focus.  His goal is to become a learning machine.  The 20s are your learning, 30s are for earning, as the saying goes.  And maybe there is some truth to that because much of what you experience in your 20s is new and it takes time to build your wealth.  But I encourage you to be a learning machine.  It doesn't matter if you're 18 or 78, there is more to learn.  The more knowledge you have, the more opportunities life will present to you.    As we're all spending most (or all) of our time indoors, now is the perfect time to develop the habit of learning.   I'm spending 30 minutes a day in April reading.  I'm listening to podcasts. I'm connecting with old and new connections on LinkedIn looking for knowledge.   Spend time today learning.  You never know where it'll lead you. You can listen to my full conversation with David Cancel here. This post is from our new series, Daily Momentum.  Each morning, we send a short, inspirational post via email, blog and podcast.  You can get it directly to your email here.  You can subscribe on iTunes here.

This week, we're bringing you another masterclass. This is a mash-up of three of our most popular episodes of all time - all with a focus on perseverance and being a learning machine. For the first few minutes, I read this article from the top 20 takeaways that famous investor Byron Wien has had in his first 80 years of life. Then, we take it to David "DC" Cancel. DC is an entrepreneur, podcaster, author and CEO of Drift, one of the hottest start-ups in SaaS. We talk about why he's obsessed with learning, what his day looks like and the value that mentors have had in his life. Next up is Mario Armstrong. Mario is the host of The Never Settle Show and a nationally known motivator. I caught Mario just a few days after his show won an Emmy and he was absolutely fired up about not letting others dictate the destiny of your dreams. Last but not least, we have JT McCormick. JT is a self-made multi-millionaire, author, speaker & CEO of Scribe Media. And when I say "self-made"...I mean it. JT was born the mixed-race son of a drug-dealing pimp father and an orphaned, single mother on welfare. He was raised in the slums of Dayton, OH, suffered incredible abuse & racism and had multiple stints in the juvenile justice system. He barely graduated high school and has not college degree. Success leaves clues. Follow the path that these leaders have carved and reach for your next goal. Listen Here: iTunes Google Play Stitcher Connect with the guests: David Cancel  Mario Armstrong JT McCormick   Sign up for the weekly Millennial Momentum Newsletter. No BS, All hustle