26 episodes

Seasoned pro or complete beginner, everyone can join our weekly Adventures in Machine Learning podcast. We're covering all the breakthroughs, influencers, and resources of Machine Learning with our venturesome AI panel and guests. We discuss advanced concepts in plain English. This is the AI podcast you've been looking for.

Adventures in Machine Learnin‪g‬ DevChat.tv

    • How To
    • 1.0 • 1 Rating

Seasoned pro or complete beginner, everyone can join our weekly Adventures in Machine Learning podcast. We're covering all the breakthroughs, influencers, and resources of Machine Learning with our venturesome AI panel and guests. We discuss advanced concepts in plain English. This is the AI podcast you've been looking for.

    ML 022: Machine Learning with TensorFlow Chris Mattmann

    ML 022: Machine Learning with TensorFlow Chris Mattmann

    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 Edition
    Twitter: Chris Mattmann
    GitHub | ChrisMattmann


    Picks


    Charles- Star Trek: Discovery
    Charles- The Umbrella Academy | Netflix
    Charles- Dev Heroes Accelerator | Devchat.tv
    Chris- Twitter: Sincerely, Los Angeles
    Chris- Sincerely, Los Angeles

    • 45 min
    ML 021: Grokking Deep Reinforcement Learning with Miguel Morales

    ML 021: Grokking Deep Reinforcement Learning with Miguel Morales

    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/gdrl
    Manning | Grokking Deep Reinforcement Learning
    Twitter: mimoralea
    Email: mimoralea@gmail.com





    Picks





    Charles- The Expanse by James S. A. Corey
    Charles- Dev Heroes Accelerator
    Miguel- Deep Reinforcement Learning
    Miguel- Youtube: Dimitri Bertsekas
    Miguel- RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learning
    Miguel- Thor ( 2011 )

    • 1 hr 5 min
    BONUS: Measuring Apps and Entrepreneurship with John-Daniel Trask

    BONUS: Measuring Apps and Entrepreneurship with John-Daniel Trask

    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.

    • 50 min
    BONUS: Measuring Apps and Entrepreneurship with John-Daniel Trask

    BONUS: Measuring Apps and Entrepreneurship with John-Daniel Trask

    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.

    • 50 min
    ML 020: How to Make an Impact on the Development Community

    ML 020: How to Make an Impact on the Development Community

    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 Mastermind

    • 45 min
    ML 019: Artificial Intelligence as a Service with Peter Elger and Eóin Shanaghy

    ML 019: Artificial Intelligence as a Service with Peter Elger and Eóin Shanaghy

    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 Shanaghy
    Peter Elger





    Sponsors





    Next Level Mastermind





    Links





    fourTheorem
    Twitter: Eóin Shanaghy
    Twitter: Peter Elger





    Picks





    Charles- The Eye of the World: Book One of The Wheel of Time by Robert Jordan
    Charles - Changemakers With Jamie Atkinson
    Charles- Podcast Domination Show by Luis Diaz
    Charles- Buzzcast
    Charles- Podcast Talent Coach
    Eóin- IKEA | IDÅSEN Desk sit/stand, black/dark gray63x31 1/2 "
    Eóin- Kinesis | Freestyle2 Split- Adjustable Keyboard for PC
    Peter- The Wolfram Physics Project
    Peter- PBS Space Time
    Peter- Youtube Channel | 3Blue1Brown
    Peter- Cracking the Code

    • 56 min

Customer Reviews

1.0 out of 5
1 Rating

1 Rating

Woodywoodpecker22 ,

Bonus Episode Scam

I downloaded this podcast to learn more about machine learning. Today I listened to my first and maybe my last episode of the podcast. It was a bonus episode about increasing productivity. It gave a couple useful tips but overall it was a 47 minute set up and sales pitch. The host and the guest were peddling a special $500 sale on “productivity system”. You would think there would be more self-awareness on an episode that’s geared toward people looking to increase productivity. Just be up front and say what’s going on, it was frustrating to listen to the entire episode it then realize in the reveal during the last 5-10 mins that it was all a set up to sell something.

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