Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.
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ML 018: Mastering Data Pipelines with Apache Spark with Jean-Georges Perrin
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 Prime Charles- The Expanse books and series
ML 017: The Nature of the World and AI with Rishal Hurbans
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 Community Rishal Hurbans Inktober Book giveaway link Picks Chuck- Hero with a thousand faces by Joseph Campbell Chuck- Masterbuilt smoker Rishal-Learn something new everyday Rishal- Building a StoryBrand by Donald Miller
ML 016: Python as a Basis for Machine Learning with Ken Youens-Clark
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 Sirmacek Gant Laborde Guest Ken Youens-Clark Links Manning | Tiny Python Projects by Ken Youens-Clark Tiny Python Project PDF by Ken Youens-Clark Tiny Python Project by Ken Youens-Clark ROSALIND | Problems | Locations Twitter: Ken Youens-Clark Picks Beril- Youtube Channel: Beril Sirmacek Gant- Twitter: Jason Mayes Ken- Netflix Series: " The Queen's Gambit"
BONUS: 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) 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)
ML 015: Extracting Value from Data with Alexey Grigorev
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 Sirmacek Daniel Svoboda Gant Laborde Guest Alexey Grigorev Sponsors Machine Learning for Software Engineers by Educative.io Audible.com Picks Alexey- DataTalks.Club Beril- Rise of AI | Building an European AI Ecosystem Daniel - dair.ai- Medium Daniel- Quantum Stat- Medium Daniel- Towards Data Science Gant- AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence by Laurence Moroney
ML 014: Deep Learning with Structured Data with Mark Ryan
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.io Audible.com Links OpenAI Rasa Keras Picks Chuck - Podcast Growth Summit Chuck-Most Valuable Dev Chuck- Wheel of Time by Robert Jordan Mark - Spitting Image
BONUS: How to do LARGE Volumes of HIGH Quality Work - While Spending Fewer Hours Working
Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal Coupon Code: "DEEP" for a GIANT discount Mani provides us with strategies and tactics to get Deep Work time and how to get our minds into that focused state for hours at a time. He has read hundreds of books that have taught him the secrets to getting more done by getting into this state. He starts by telling us how he was passed over for a promotion at Qualcomm in favor of someone younger and less experienced and how that inspired him to figure out what the other guy was doing differently. He learned that he needed to get more done with the time he was spending on his projects. The trick? Deep Work! Deep Work is the ability to spend uninterrupted, focused time on a task to bend your entire mind toward the goal. Other developers call it "Flow" or "the Zone." Mani provides us with strategies and tactics to get Deep Work time and how to get our minds into that focused state for hours at a time. Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal Coupon Code: "DEEP" for a GIANT discount
ML 013: Recommender Systems with Frank Kane
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.io Audible.com CacheFly Panel Charles Max Wood Gant Laborde Daniel Svoboda Beril Sirmacek Guest Frank Kane Links https://gabriellecrumley.com/ Picks Daniel Svoboda: Silicon Valley machinelearningmastery.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.com Until the End of Time: Mind, Matter, and Our Search for Meaning in an Evolving Universe Follow Adventures in Machine Learning on Twitter > @podcast_ml
ML 012: Machine Learning for Mere Mortals with Nick Chase
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.io Audible.com CacheFly Panel Charles Max Wood Jason 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_ml
ML 011: History of AI in the UK with Laurence Moroney
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.io Audible.com CacheFly Panel Charles Max Wood Gant Laborde Jason Mayes Daniel 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 Systems The Manga Guide to Machine Learning Follow Adventures in Machine Learning on Twitter > @podcast_ml
ML 010: Brains, Guitars, and JavaScript with Milecia McGregor
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.io Audible.com CacheFly Panel Charles Max Wood Gant Laborde Guest Milecia McGregor Links HalfStackNYC talk Hawaii https://github.com/google-research/bert https://scholar.google.com/ https://audible.com/code Picks Gant Laborde: http://virtualcoffee.io/ Charles Max Wood: The Black Prism Milecia McGregor: War of Art https://javascript-conference.com/node-js/reading-thoughts-with-javascript/ Follow Adventures in Machine Learning on Twitter > @podcast_ml
ML 009: Effective Machine Learning in Academia and Industry with Hassan Kane
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.io Audible.com CacheFly Panel Charles Max Wood Gant Laborde Guest Hassan Kane Links www.kaggle.com/c/birdsong-recognition Picks Gant Laborde: My daughter turning 2 years old twitter.com/funmachinelearn Charles Max Wood: Black Prism writingexcuses.com blastoffbootcamper.com Hassan Kane: AI-Superpowers-China-Silicon-Valley twitter.com/black_in_ai Follow Adventures in Machine Learning on Twitter > @podcast_ml
ML 008: TensorFlow.js and YOU with Jason Mayes
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.io Audible.com CacheFly Panel Charles Max Wood Gant Laborde Guest Jason Mayes Links https://medium.com/google-developer-experts/improve-your-virtual-setup-sound-eee8c22036fc https://github.com/jasonmayes http://www.jasonmayes.com https://www.linkedin.com/in/creativetech Github Code Google Group codepen.io/topic/tensorflowGlitch glitch.com/@TensorFlowJS Picks Gant Laborde: Beginning Machine Learning with TensorFlow.js Charles Max Wood: https://podcastplaybook.co Legends (TV show) Jason Mayes: #MadeWithTFJS Follow Adventures in Machine Learning on Twitter > @podcast_ml
ML 007: Computer Vision & AI Scientist with Beril Sirmacek
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.io Audible.com CacheFly Panel Charles Max Wood Gant Laborde Guest Beril Sirmacek Links https://www.youtube.com/user/DrSirmacek/videos http://www.berilsirmacek.com/ Sequential image processing methods for improving semantic video segmentation algorithms DEEPLAB vs YOLO Understanding 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_ml
ML 006: Mad Science AI with Benson Ruan
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.io Audible.com CacheFly Panel Charles Max Wood Gant Laborde Guest Benson Ruan Links Real-time webcam background change with body segmentation technique Face mask virtual try on with face landmarks detection technique Twitter Sentiment Analysis Picks Gant Laborde: My Hero Academia Charles Max Wood: The 12 Week Year The Obstacle Is the Way by Ryan Holiday Benson Ruan: TensorFlow.js Community Show & Tell Follow Adventures in Machine Learning on Twitter > @podcast_ml