Episodes

ML 027: Staying Current in Machine Learning
Apr 22, 2021
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Episode
027
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.

BONUS: How Opportunities Come Your Way When You're an Influencer
Apr 16, 2021
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Episode
BONUS
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.

BONUS: How Opportunities Come Your Way When You're an Influencer
Apr 15, 2021
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Episode
BONUS
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.

BONUS: What is Charles Max Wood's Biggest Payoff for Being a Dev Influencer?
Apr 09, 2021
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Episode
BONUS
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.

ML 026: Sweetviz with Francois Bertrand
Apr 08, 2021
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Episode
026
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.

BONUS: How Jason Weimann Became a Game Developer
Apr 02, 2021
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Episode
BONUS
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.

ML 025: Machine Learning and Quantum Computing with Ather Fawaz
Apr 01, 2021
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Episode
025
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.

BONUS: Continuing Your Learning Journey by Finding Mentors as an Influencer
Mar 26, 2021
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Episode
BONUS
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.

BONUS: Continuing Your Learning Journey by Finding Mentors as an Influencer
Mar 26, 2021
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Episode
BONUS
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.

ML 024: Machine Learning in Action with Ben Wilson
Mar 23, 2021
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Episode
024
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.

ML 023: Inside Machine Learning with Edward Raff
Mar 16, 2021
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Episode
023
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.

BONUS: How Charles Max Wood Started Podcasting -- And You Can Too
Mar 09, 2021
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Episode
BONUS
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.

BONUS: How to get Freelance Clients to Come to You
Mar 02, 2021
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Episode
BONUS
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.

ML 022: Machine Learning with TensorFlow Chris Mattmann
Feb 23, 2021
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Episode
022
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.

ML 021: Grokking Deep Reinforcement Learning with Miguel Morales
Feb 16, 2021
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Episode
021
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…

Latest Episode: Cows, Camels, and the Human Brain - ML 182
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