Adventures in Machine Learning

Adventures in Machine Learning

By Charles M WoodBusinessTechnologyEducationHow ToCareers
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Adventures in Machine Learning episodes

  • 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

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    49 min
  • 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

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    37 min
  • 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

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    56 min
  • 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

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    45 min
  • 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

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    Privacy & Opt-Out: https://redcircle.com/privacy

    Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
    19 min
  • 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

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    Privacy & Opt-Out: https://redcircle.com/privacy

    Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
    47 min
  • 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

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    Privacy & Opt-Out: https://redcircle.com/privacy

    Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
    41 min
  • 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

    Advertising Inquiries: https://redcircle.com/brands

    Privacy & Opt-Out: https://redcircle.com/privacy

    Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
    37 min
  • 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

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    Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
    55 min
  • 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

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    Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
    52 min

About Adventures in Machine Learning

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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…