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 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
ML 005: Transfer Learning for NLP with Daniel Svoboda
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.io Audible.com CacheFly Panel Charles Max Wood Gant Laborde Guest Daniel Svoboda Links towardsdatascience.com/bert-explained-state-of-the-art-language-model-for-nlp ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html ai.googleblog.com/2017/08/transformer-novel-neural-network.html www.nltk.org spacy.io https://www.kaggle.com Picks Charles Max Wood: Traffic Secrets: The Underground Playbook for Filling Your Websites and Funnels with Your Dream Customers Range: 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_ml
ML 004: Automated Machine Learning ML with Jorge Torres
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.io CacheFly Panel Charles Max Wood Gant Laborde Guest Jorge Torres Links www.mindsdb.com pytorch.org tensorflow.org www.geeksforgeeks.org/confusion-matrix-machine-learning www.pyimagesearch.com/2020/02/17/autoencoders-with-keras-tensorflow-and-deep-learning https://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 Amazon krisp.ai Follow Adventures in Machine Learning on Twitter > @podcast_ml
ML 003: Your GPU Brain with Robert Plummer
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.io CacheFly Panel Charles Max Wood Gant Laborde Eric Chalmers Guest Robert Plummer Links Javascript for machine learning? Get a real language www.learnwithjason.dev maxcoders.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_ml
ML 002: DeOldify Your Life with Jason Antic
GANS are one of the revolutionary breakthroughs in machine/deep learning as they are able to create authentic facial images. One of the latest breakthroughs has been with reconstructing actual images of the Roman Emperors using their busts and frescos. Special guest Jason Antic talks about GANs and his work with deOldify, an application to color and restore images. Sponsor Machine Learning for Software Engineers by Educative.io CacheFly Panel Charles Max Wood Gant Laborde Eric Chalmers Guest Jason Antic Links fast.ai DeOldify Facebook F8 Movie Colorization Demo TensorBoard: TensorFlow’s visualization toolkit pytorch.org Picks Eric Chalmers: The Untethered Soul: The Journey Beyond Yourself Gant Laborde: Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners Charles Max Wood: The 360 Degree Leader: Developing Your Influence from Anywhere in the Organization Jason Antic: TV Show: Adam Ruins Everything Follow Adventures in Machine Learning on Twitter > @podcast_ml
ML 001: The Adventures in Machine Learning First Steps
In this first episode of Adventures in Machine Learning the panel talks about what machine learning is and what the podcast is about. Machine learning is rapidly becoming the future for many industries like banking, telecommunications, advertisements, etc. Yet there are so many subjects involved with it that novices may find it intimidating to get into, let alone start with. Sponsor Machine Learning for Software Engineers by Educative.io CacheFly Panel Charles Max Wood Gant Laborde Eric Chalmers Links We fired our top talent. Best decision we ever made https://www.coursera.org/learn/machine-learning Picks Eric Chalmers: Rodney Brooks: Robots, AI, and other stuff Gant Laborde: Beginning Machine Learning with TensorFlow.js Charles Max Wood: The Dev Rev Follow Adventures in Machine Learning on Twitter > @DevChatTV