Michael Galarnyk is a Developer Relations at AnyScale and has nearly 10,000 follows on Medium. He joins the adventure to walk Chuck through how he's parallelized the training of his Machine Learning models on multi-core machines. He also walks Chuck through the ins and outs of being in Developer Relations. Panel Charles Max Wood Guest Michael Galarnyk Sponsors Dev Influencers Accelerator Links Speeding up Scikit-Learn Model TrainingHow to Build a Data Science PortfolioMichael Galarnyk - MediumTwitter: Michael Galarnyk ( @GalarnykMichael )LinkedIn: Michael Galarnyk Picks Charles- Words of Radiance: Stormlight ArchiveCharles- Buying cars on local classifiedsMichael- The Cost of Financing a Car (Car Loans)Michael- Success is an Iceberg (we all fail sometimes)Michael- Destiny's Crucible | Olan Thorensen Contact Charles: Devchat.tvDevChat.tv | FacebookTwitter: DevChat.tv ( @devchattv )Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Derrick Mwiti joins the adventure to discuss the various tools you can use to jumpstart your Machine Learning adventure. He walks through several frameworks for Machine Learning and points out several Tensorflow extensions that will make your Machine Learning models better and your understanding of what is going on easier. He and Chuck walk through each one and highlight when and why you'd want to use them. Panel Charles Max Wood Guest Derrick Mwiti Sponsors Dev Influencers Accelerator Links The Best Machine Learning Frameworks & Extensions for TensorFlowDerrick MwitiDerrick Mwiti | Data Scientist | Author | Mentor | UdemyTwitter: Derrick Mwiti ( @_mwitiderrick )LinkedIn: Derrick Mwiti Picks Charles- Who Not HowCharles- Fanatical ProspectingCharles- Hunting HitlerDerrick- Purple Cow: Transform Your Business by Being Remarkable Derrick- This Is Marketing: You Can't Be Seen Until You Learn to See  Contact Charles: Devchat.tvDevChat.tv | FacebookTwitter: DevChat.tv ( @devchattv )Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Qingquan Song is a member of the AutoKeras team and recent Phd graduate from Texas A&M University. He co-authored the Automated Machine Learning book from Manning publishing and joins the adventure to explain automated machine learning and how it can be used to set up and to refine machine learning models. He also dives into how to use the tools that exist to take advantage of the techniques it offers. Panel Charles Max Wood Guest Qingquan Song Sponsors Dev Influencers Accelerator Links Automated Machine Learning in ActionHaifeng Jin's BlogXia Ben Hu, Texas A&M UniversityAutoKerasAbout me - Qingquan SongLinkedIn: Qingquan Song Picks Charles- Who Not HowCharles- Ruby Rogues | Devchat.tvCharles- Encourage people to have empathyQingquan- Working as a team is better than working individuallyQingquan- Focus on one thing at a timeQingquan- "Work hard and Play Harder"Qingquan- Learn from othersAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Chuck was on a strategic call with one of his potential coaching clients talking about cryptocurrencies and realized that this is one of the major reasons that people want to become influencers. Or, rather, that many people aspire to make a difference and/or make money and the best way to do that is to become the person people go to for what you do. So, how do you become the first person people think of when they think of that thing you know how to do? Let Chuck tell you. Panel Charles Max WoodAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Annie Didier from NASA’s Jet Propulsion Lab talks to us about the Machine Learning algorithms and process that goes into how the next Mars rover will choose how it moves across the surface of Mars. She explains each algorithm and how they go together to make the decisions that the Rover makes. Panel Charles Max Wood Guest Annie Didier Sponsors Dev Influencers Accelerator Links MAARS - Machine Learning-based Analytics for Automated Rover Systems (Final Presentation)SCOTI: Science Captioning of Terrain Images for data prioritization and local image searchMAARS: Machine learning-based Analytics for Automated Rover SystemsSULU: Scalable and Distributed Machine Learning Framework with Unified Encoder for Mars Rover MissionsAI4Mars - ZooniverseLinkedIn: Annie Didier Picks Annie- When Breath Becomes Air Charles- The Martian Charles- Back MarketCharles- monday.comAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Gant's back!!! He's releasing a book with Manning Publishing about Tensorflow.js and he's here to discuss all the details with us. He explains the difference between Teonsorflow and Tensorflow.js and goes into some of the pros and cons of using it. He also explains the concepts he goes over for new ML engineers and for ML engineers learning JavaScript. Panel Charles Max Wood Guest Gant Laborde Sponsors Dev Influencers Accelerator Links Learning TensorFlow.js by Gant LabordeLearning TensorFlow.js: Powerful Machine Learning in JavaScript  by Gant LabordeTwitter: Gant Laborde ( @GantLaborde )gantlaborde.com Picks Charles- monday.comCharles- The Sales Development Playbook Trish BertuzziGant- Antifragile by Nassim Nicholas Taleb Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Charles talks about the things that get developers stuck when they're trying to start their podcast or other influencer channel. He explains how to get around having those things hamper your journey. Panel Charles Max WoodAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Charles Max Wood talks about how to build, grow, and benefit from positive relationships within programming. He talks about how he's built genuine positive relationships with hundreds of programmers and how he and others have grown from those relationships. He also explains that you get out of relationships what you put into them. Finally, he goes into how to begin to build relationships by building a system of influence you can use on behalf of the people you want relationships with. Panel Charles Max WoodAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Miguel and Chuck discuss how to stay current in the rapidly changing world of Machine Learning and Artificial Intelligence. They go over how to pick books, newsletters, podcasts, and other resources to up your Machine Learning knowledge and skills. Panel Charles Max WoodMiguel Morales Sponsors Dev Influences Accelerator Picks Charles- The Umbrella AcademyCharles- The Sales Development PlaybookMiguel- Deep Reinforcement LearningAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Charles Max Wood discusses several opportunities that came his way early in his podcasting career and other opportunities that have come to other people after only a couple of podcast episodes. He explains why that happens and how you can use this to create more influence as a developer. Panel Charles Max WoodAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Charles Max Wood started podcasting because it sounded fun and because he wanted to talk about technology. He learned pretty quickly that it got him access to people who understood the things he wanted to learn. The reasons changed over the years, as Charles explains before he talks about the big payoff he gets now from doing the podcasts. Panel Charles Max WoodAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Francois Bertrand is the author of a tool that builds in powerful data visualization tools for datasets that allow data scientists and machine learning engineers to look at their data and analyze various qualities that they have. This could allow engineers to make qualitative calls regarding the data they use to train their models or evaluate the results they get from models after the fact. Francois explains how he built it and how to use it for these types of uses. Panel Charles Max WoodMiguel Morales Guest Francois Bertrand Sponsors Dev Influencers Accelerator Links FRANCOIS BERTRAND | DATA VISUALIZATION DESIGNER Picks Charles- Dev Influencers | Devchat.tvCharles- Teachable: Create and sell online course and teachingCharles- Walkie Talkie App for Team Communication | VoxerCharles- ThriveCartCharles- ScreenFlowFrancios- Featuretools | An open source python framework for automated feature engineeringMiguel- Deep Unsupervised Learning -- Berkeley Spring 2020Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Jason Weimann started out as an enthusiast of the Massively Multiplayer Online Role Playing Game, Everquest. After becoming a software developer and building a collaborative community playing the game, learn how he used his connections to get a job working for the company that made the game, even if it wasn't a job working as a game developer and how that led to a career working on one of the most popular online games of the time. Panel Charles Max WoodAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Ather Fawaz joins the discussion to walk us through the world of qubits, quantum computers, machine learning algortithms, and what quantum computer means for machine learning. He explains the basics of quantum computer and who the major players are in the space and then explains some of the advancements people are making by scheduling time on their quantum computers. Panel Charles Max WoodMiguel Morales Guest Ather Fawaz Sponsors Dev Heroes Accelerator Picks Ather- Learn Quantum Computation using QiskitAther- Formula 1: Drive to SurviveCharles- The Circle (2017)Miguel- Reinforcement Learning and Stochastic Optimization by Warren B. PowellAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Chuck outlines how he's used his podcasts to find mentors to continue his learning journey over 12 years of podcasting. Some mentors have been long lived relationships while others have lasted only a few months or even days. This episode shares Chuck's experience learning from the top people in the development community as a programmer and podcaster. Panel Charles Max WoodAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Ben Wilson is the author of Machine Learning in Action from Manning. He leads us through the process of compiling data, building algorithms, and learning Machine Learning. Panel Charles Max Wood Guest Ben Wilson Sponsors Dev Heroes Accelerator Picks Ben- DataTalks.ClubCharles- Devchat.tv | She's in TechCharles- Looking for sponsors for the showCharles- Walkie Talkie App for Team Communication | VoxerAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

We have a new panelist! Plus, Edward Raff joins the Adventure to discuss his new book Inside Machine Learning. He walks us through Convolutional Neural Networks and then talks us through to build, train, and use them to solve problems through Machine Learning. The conversation ranges into having good data sets, tweaking your network, and when a Convolutional Neural Network is an appropriate tool for the problem you're trying to solve. Panel Charles Max WoodMiguel Morales Guest Edward Raff Sponsors Dev Heroes Accelerator Picks Charles- DockerCharles- Paramount+Edward- Java | OracleEdward- Make-A-Wish AmericaMiguel- Full Stack Deep Learning - Spring 2021Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Charles Max Wood goes into the origin story of his podcasting career and how it relates to his programming career. He starts with his interest from a young age in technology and his dreams of being a radio DJ. He moves quickly through college and into his first job after college where he was introduced to podcasts by a co-worker who had purchased an iPod. He calls out several mentors like Gregg Pollack, Eric Berry, Nate Hopkins, Cliff Ravenscraft, David Brady, Dave Jackson, and many more. He then explains what he'd do differently if he were starting today. Join the Dev Heroes Accelerator at https://devchat.tv/hero Panel Charles Max Wood Sponsors Dev Heroes AcceleratorAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Charles Max Wood explains how he landed his first 4 freelance clients that took him through a few years of freelancing with only 3 years of experience and a few hundred podcast listeners. Funnily enough, they actually came to him, not the other way around. He explains how he made himself attractive to them and then turned it into a mutually profitable relationship once he had their attention. Panel Charles Max Wood Sponsors Dev Heroes AcceleratorAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Chris explains how Tensorflow has grown over the last several years and the how it can be used to build and grow Machine Learning Systems. He explains the different algorithms you can use and the different types of problems it can solve. Chris works at the Jet Propulsion Laboratory for NASA and dives into a few instances where Machine Learning is used at NASA. Panel Charles Max Wood Guest Chris Mattmann Sponsors Dev Heroes Accelerator Links Manning | Machine Learning with TensorFlow, Second EditionTwitter: Chris MattmannGitHub | ChrisMattmann Picks Charles- Star Trek: DiscoveryCharles- The Umbrella Academy | NetflixCharles- Dev Heroes Accelerator | Devchat.tvChris- Twitter: Sincerely, Los AngelesChris- Sincerely, Los AngelesAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Miguel Morales is a Machine Learning engineer at Lockheed Martin and teaches at Georgia Institute of Technology. This episode starts with a basic explanation of Reinforcement Learning. Miguel then talks through the various methods of implementing and training systems through Reinforcement Learning. We talk algorithms and models and much more… Panel Charles Max Wood Guest Miguel Morales Sponsors Dev Heroes Accelerator Links GitHub | mimoralea/gdrlManning | Grokking Deep Reinforcement LearningTwitter: mimoraleaEmail: [email protected] Picks Charles- The Expanse by James S. A. Corey Charles- Dev Heroes AcceleratorMiguel- Deep Reinforcement LearningMiguel- Youtube: Dimitri BertsekasMiguel- RL Course by David Silver - Lecture 1: Introduction to Reinforcement LearningMiguel- Thor ( 2011 )Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

John-Daniel Trask, founder and CEO of Raygun, talks about his experience building a monitoring company and about how to measure the speed and quality of your code. Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Charles Max Wood takes a solo flight into how to make an impact on the development community and build the career you want at the same time. Chuck starts out summarizing his journey over the last year or so and then dives into his vision of how people can grow into becoming an influencer and using that to create opportunities in your life and career. Please check out devchat.tv/nextlevel Panel Charles Wood Sponsors Next Level MastermindAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Peter Elger and Eóin Shanaghy join Charles Max Wood to dive into what Artificial Intelligence and Machine Learning related services are available for people to use. Peter and Eóin are experts in AWS and explain what is provided in its services, but easily extrapolate to other clouds. If you're trying to implement Artificial Intelligence algorithms, you may want to use or modify an algorithm already built and provided to you. Panel Charles Wood Guest Eóin ShanaghyPeter Elger Sponsors Next Level Mastermind Links fourTheoremTwitter: Eóin ShanaghyTwitter: Peter Elger Picks Charles- The Eye of the World: Book One of The Wheel of Time by Robert JordanCharles - Changemakers With Jamie AtkinsonCharles- Podcast Domination Show by Luis DiazCharles- BuzzcastCharles- Podcast Talent CoachEóin- IKEA | IDÅSEN Desk sit/stand, black/dark gray63x31 1/2 "Eóin- Kinesis | Freestyle2 Split- Adjustable Keyboard for PCPeter- The Wolfram Physics ProjectPeter- PBS Space TimePeter- Youtube Channel | 3Blue1BrownPeter- Cracking the CodeAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Jean-Georges Perrin compares Apache Spark to an operating system for data management. He explains how it can be used to pull data from disparate data sources, process the data, feed it into Machine Learning algorithms and stream the data out to other data streaming services. Coupon code: podmladventure20 Panel Charles Wood Guest Jean-Georges Perrin Sponsors Next Level Mastermind Picks Charles- Talk to people you don’t agree with and try to understand their point of view.Charles- Eureka on Amazon PrimeCharles- The Expanse books and seriesAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Rishal Hurbans is the author of Grokking Artificial Intelligence Algorithms. He walks us through how to learn different Machine Learning algorithms. He also then walks us through the different types of algorithms based on different natural systems and processes. Panel Chuck Wood Guest Rishal Hurbans Links Kaggle: Your Machine Learning and Data Science CommunityRishal HurbansInktoberBook giveaway link Picks Chuck- Hero with a thousand faces by Joseph CampbellChuck- Masterbuilt smokerRishal-Learn something new everydayRishal- Building a StoryBrand by Donald MillerAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Ken Youens-Clark regales us with his history through Jazz, Microsoft Tech, and Python and bioinformatics. Regular expressions are a fundamental part of data identification and cleaning. Also, we touch on the importance of types and tests as a specification for yourself and others. Python, as a data-science starting point, should be clean, functional, and friendly. Aspiring data scientists can learn a lot about the importance of fundamentals and clear encodings that fit the desired needs. Panel Beril SirmacekGant Laborde Guest Ken Youens-Clark Links Manning | Tiny Python Projects by Ken Youens-ClarkTiny Python Project PDF by Ken Youens-ClarkTiny Python Project by Ken Youens-ClarkROSALIND | Problems | LocationsTwitter: Ken Youens-Clark Picks Beril- Youtube Channel: Beril SirmacekGant- Twitter: Jason MayesKen- Netflix Series: " The Queen's Gambit"Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Get the 2020 Goal Setting Workshop + Success Accelerator Deal HERE (Coupon Code: GOALS for a massive discount) Mani Vaya joins Charles Max Wood to walk him through the 6 pillars of success that lead to meeting your goals. Mani has read thousands of books on success, setting and achieving goals, and personal growth and has distilled these 6 principles from the books and then figured out how to put them into practice. He and Chuck walk through the principles and strategies that create success and allow you to set goals that will bring you the things you want during the next year or so. Listen to this episode to learn how to crush your biggest goals in 2021. Get the 2020 Goal Setting Workshop + Success Accelerator Deal HERE (Coupon Code: GOALS for a massive discount) Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Alexey Grigorev is the lead data scientist for one of the biggest classified ads companies in the world. He walks us through gathering, mining, and understanding data to improve things. One big component of this is Machine Learning. It optimizes business processes and helps data scientists understand the data they have. Panel Beril SirmacekDaniel SvobodaGant Laborde Guest Alexey Grigorev Sponsors Machine Learning for Software Engineers by Educative.ioAudible.com Picks Alexey- DataTalks.ClubBeril- Rise of AI | Building an European AI EcosystemDaniel - dair.ai- Medium Daniel- Quantum Stat- MediumDaniel- Towards Data ScienceGant- AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence by Laurence MoroneyAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Mark Ryan is the lead Data Scientist for an insurance company in Toronto. He walks us through the ins and outs of structured data, how to manage it, and how to build Machine Learning systems. His book walks the reader through building a system that predicts whether bus routes in Toronto will be late using public domain data. Panel Charles Max Wood Guest Mark Ryan Sponsors Machine Learning for Software Engineers by Educative.ioAudible.com Links OpenAIRasaKeras Picks Chuck - Podcast Growth SummitChuck-Most Valuable DevChuck- Wheel of Time by Robert JordanMark - Spitting ImageAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

In this episode of Adventures in Machine Learning, the amazing author and course creator Frank Kane entertains our panel with information and examples. Beril Sirmacek, Gant Laborde, Daniel Svoboda, & Charles Wood talk with Frank Kane about recommender systems. The discussion elaborates on collaborative and content based recommendation systems, how they all work and how amazing they can be. Frank’s variety of experience provides fun stories, exciting examples, and a roadmap for beginners filled the complex domain with friendly stories. This episode is a MUST LISTEN for people interested in getting into Machine Learning or recommender systems. Sponsors Machine Learning for Software Engineers by Educative.ioAudible.comCacheFly Panel Charles Max WoodGant LabordeDaniel SvobodaBeril Sirmacek Guest Frank Kane Links https://gabriellecrumley.com/ Picks Daniel Svoboda: Silicon Valleymachinelearningmastery.com Beril Sirmacek: XAI course 2020 ~ Module2 ~ Introduction to AI & ML Gant Laborde: https://mlconf.eu/ Charles Max Wood: Stroopwafel (dutch food)https://www.podcastgrowthsummit.co/ Frank Kane: https://sundog-education.com/datascience.comUntil the End of Time: Mind, Matter, and Our Search for Meaning in an Evolving Universe Follow Adventures in Machine Learning on Twitter > @podcast_mlAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Nick Chase is the author of the video series “Machine Learning for Mere Mortals.” He helps break down some of the misconceptions about how complicated Machine Learning is and the magical parts of the science. He and the panelists then dive into the basics of what you need to know and break up the scary sounding terms and mathematical concepts into bite size pieces. Enter for a chance to win a copy of Nick’s video course at https://devchat.tv/mere-mortals. Sponsors Machine Learning for Software Engineers by Educative.ioAudible.comCacheFly Panel Charles Max WoodJason Mayes Guest Nick Chase Picks Jason Mayes: Browser-Based Augmented Reality Sudoku Solver using TensorFlow and Image Processing Charles Max Wood: https://www.brandonsanderson.com/the-stormlight-archive-series/https://developeronfire.com/podcast/episode-448-nicholas-chase-expanding-what-people-think-they-can-do Nick Chase: Machine Learning for Mere Mortals Follow Adventures in Machine Learning on Twitter > @podcast_mlAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

In this episode of Adventures in Machine Learning, the panelists chat with Laurence Moroney about the history of AI in the UK. We talk about the AI overlords, ethics, and the need for teaching. Industry revolutions and how we can adapt them to improve life. Laurence is working on new synthetic datasets so tune in and check it out! Sponsors Machine Learning for Software Engineers by Educative.ioAudible.comCacheFly Panel Charles Max WoodGant LabordeJason MayesDaniel Svoboda Guest Laurence Moroney Picks Jason Mayes: TensorFlow.js Show and Tell on Youtube Gant Laborde: https://www.tensorflowtictactoe.co/ Daniel Svoboda: Youtube: Kaggle Laurence Moroney: Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent SystemsThe Manga Guide to Machine Learning Follow Adventures in Machine Learning on Twitter > @podcast_mlAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

In this episode of Adventures in Machine Learning, Charles and Gant chat with Milecia about applying AI to UI/UX and the conversation takes a creative turn as they discuss plenty of other fun-filled and exciting topics she’s working on. There’s banter about self-driving cars and golf carts as they apply AI/ML to practical and non-practical uses. The epic mind-powered guitar takes the stage and classic movies get referenced. Be sure to follow Milecia on her adventures in Machine Learning on her Twitter at https://twitter.com/flippedcoding. Sponsors Machine Learning for Software Engineers by Educative.ioAudible.comCacheFly Panel Charles Max WoodGant Laborde Guest Milecia McGregor Links HalfStackNYC talkHawaiihttps://github.com/google-research/berthttps://scholar.google.com/https://audible.com/code Picks Gant Laborde: http://virtualcoffee.io/ Charles Max Wood: The Black Prism Milecia McGregor: War of Arthttps://javascript-conference.com/node-js/reading-thoughts-with-javascript/ Follow Adventures in Machine Learning on Twitter > @podcast_mlAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

In this week’s episode of Adventures in Machine Learning we have Hassan Kane, data scientist lead at Entropy Labs. Hassan discusses his journey from being raised in Ivory Coast, Africa to getting his education in computer science from MIT, to his discovery and embracing of machine learning. Hassan discusses various applications of machine learning, including that of NASA, satellites and edge devices.. Sponsors Machine Learning for Software Engineers by Educative.ioAudible.comCacheFly Panel Charles Max WoodGant Laborde Guest Hassan Kane Links www.kaggle.com/c/birdsong-recognition Picks Gant Laborde: My daughter turning 2 years oldtwitter.com/funmachinelearn Charles Max Wood: Black Prismwritingexcuses.comblastoffbootcamper.com Hassan Kane: AI-Superpowers-China-Silicon-Valleytwitter.com/black_in_ai Follow Adventures in Machine Learning on Twitter > @podcast_mlAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

TensorFlow is a machine learning library that allows a user to program deep learning architectures. It is normally associated with backend programming languages like Python and is written in C++, but what if you can utilize it in Javascript to program deep learning models for frontend web applications. Guest Jason Mayes talks about doing this with Tensorflow JS. Sponsors Machine Learning for Software Engineers by Educative.ioAudible.comCacheFly Panel Charles Max WoodGant Laborde Guest Jason Mayes Links https://medium.com/google-developer-experts/improve-your-virtual-setup-sound-eee8c22036fchttps://github.com/jasonmayeshttp://www.jasonmayes.comhttps://www.linkedin.com/in/creativetechGithub CodeGoogle Groupcodepen.io/topic/tensorflowGlitchglitch.com/@TensorFlowJS Picks Gant Laborde: Beginning Machine Learning with TensorFlow.js Charles Max Wood: https://podcastplaybook.coLegends (TV show) Jason Mayes: #MadeWithTFJS Follow Adventures in Machine Learning on Twitter > @podcast_mlAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Beril Sirmacek is a data scientist and an assistant professor at Jonkoping University. She explains what computer vision is, what type of projects are done with it, and her own work regarding it. Sponsors Machine Learning for Software Engineers by Educative.ioAudible.comCacheFly Panel Charles Max WoodGant Laborde Guest Beril Sirmacek Links https://www.youtube.com/user/DrSirmacek/videoshttp://www.berilsirmacek.com/Sequential image processing methods for improving semantic video segmentation algorithmsDEEPLAB vs YOLOUnderstanding model predictions with LIME Picks Gant Laborde: React Native EU Charles Max Wood: Warbreaker Mass Market Beril Sirmacek: Fast Academic Success: Little Book of The Life Changing Secrets Follow Adventures in Machine Learning on Twitter > @podcast_mlAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Benson Ruan talks about his experiences as a machine learning tech lead for a fintech company in Sydney, Australia. He goes over his education in machine learning from Coursera, especially doing Andrew Ng’s deep learning course that started his journey up to his current position. Sponsors Machine Learning for Software Engineers by Educative.ioAudible.comCacheFly Panel Charles Max WoodGant Laborde Guest Benson Ruan Links Real-time webcam background change with body segmentation techniqueFace mask virtual try on with face landmarks detection techniqueTwitter Sentiment Analysis Picks Gant Laborde: My Hero Academia Charles Max Wood: The 12 Week YearThe Obstacle Is the Way by Ryan Holiday Benson Ruan: TensorFlow.js Community Show & Tell Follow Adventures in Machine Learning on Twitter > @podcast_mlAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

One of the hottest fields right now in machine learning is natural language processing. Whether it’s getting sentiment from tweets, summarizing your documents, sarcasm detection, or predicting stock trends from the news, NLP is definitely the wave of the future. Special guest Daniel Svoboda talks about transfer learning and the latest developments such as BERT that promises to revolutionize NLP even further. Sponsors Machine Learning for Software Engineers by Educative.ioAudible.comCacheFly Panel Charles Max WoodGant Laborde Guest Daniel Svoboda Links towardsdatascience.com/bert-explained-state-of-the-art-language-model-for-nlpai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.htmlai.googleblog.com/2017/08/transformer-novel-neural-network.htmlwww.nltk.orgspacy.iohttps://www.kaggle.com  Picks Charles Max Wood: Traffic Secrets: The Underground Playbook for Filling Your Websites and Funnels with Your Dream CustomersRange: Why Generalists Triumph in a Specialized World Gant Laborde: AI-QuickStartGuide.pdf Daniel Svoboda: Star Trek: Picard Follow Adventures in Machine Learning on Twitter > @podcast_mlAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Implementing deep learning algorithms require knowledge of various DL libraries, how to interface outside files or streaming data to it, along with tuning all sorts of parameters. Deep Learning also does not give you much explanation on what features contribute to a model working well. Jorge Torres discusses MindsDB, a new framework for AutoML that simplifies implementation of neural network models for researchers, along with providing explanation of features. Sponsors Machine Learning for Software Engineers by Educative.ioCacheFly Panel Charles Max WoodGant Laborde Guest Jorge Torres Links www.mindsdb.compytorch.orgtensorflow.orgwww.geeksforgeeks.org/confusion-matrix-machine-learningwww.pyimagesearch.com/2020/02/17/autoencoders-with-keras-tensorflow-and-deep-learninghttps://www.kiwibot.com/ Picks Gant Laborde: NVIDIA RTX Voice: Setup Guide Charles Max Wood: Russell Brunson’s books Jorge Torres: Iain M. Banks, Author on Amazonkrisp.ai Follow Adventures in Machine Learning on Twitter > @podcast_mlAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Machine learning is a complex subject that requires knowledge in many various subjects such as linear algebra, probability, algorithms, calculus, etc. But what if you could simplify machine learning to the extent that a child would be able to grasp it? Robert Plummer discusses incorporating machine learning for Javascript and opens up a whole new paradigm. Sponsors Machine Learning for Software Engineers by Educative.ioCacheFly Panel Charles Max WoodGant LabordeEric Chalmers Guest Robert Plummer Links Javascript for machine learning? Get a real languagewww.learnwithjason.devmaxcoders.io Picks Eric Chalmers: The problem with metrics is a big problem for AI Gant Laborde: Spooky Fun with Race Recognition Charles Max Wood: The MaxCoders Guide To Finding Your Dream Developer Job Robert Plummer: Abstract: The Art of Design | Netflix Follow Adventures in Machine Learning on Twitter > @podcast_mlAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.