Adventures in Machine Learning

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. The conversation ranges into having good data sets, tweaking your network, and when a Convolutional Neural Network is an appropriate tool for the problem you're trying to solve. Panel Charles Max WoodMiguel Morales Guest Edward Raff Sponsors Dev Heroes Accelerator Picks Charles- DockerCharles- Paramount+Edward- Java | OracleEdward- Make-A-Wish AmericaMiguel- Full Stack Deep Learning - Spring 2021Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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. He then explains what he'd do differently if he were starting today. Join the Dev Heroes Accelerator at https://devchat.tv/hero Panel Charles Max Wood Sponsors Dev Heroes AcceleratorAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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. He explains how he made himself attractive to them and then turned it into a mutually profitable relationship once he had their attention. Panel Charles Max Wood Sponsors Dev Heroes AcceleratorAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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 EditionTwitter: Chris MattmannGitHub | ChrisMattmann Picks Charles- Star Trek: DiscoveryCharles- The Umbrella Academy | NetflixCharles- Dev Heroes Accelerator | Devchat.tvChris- Twitter: Sincerely, Los AngelesChris- Sincerely, Los AngelesAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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/gdrlManning | Grokking Deep Reinforcement LearningTwitter: mimoraleaEmail: mimoralea@gmail.com Picks Charles- The Expanse by James S. A. Corey Charles- Dev Heroes AcceleratorMiguel- Deep Reinforcement LearningMiguel- Youtube: Dimitri BertsekasMiguel- RL Course by David Silver - Lecture 1: Introduction to Reinforcement LearningMiguel- Thor ( 2011 )Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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. Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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. Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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 MastermindAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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 ShanaghyPeter Elger Sponsors Next Level Mastermind Links fourTheoremTwitter: Eóin ShanaghyTwitter: Peter Elger Picks Charles- The Eye of the World: Book One of The Wheel of Time by Robert JordanCharles - Changemakers With Jamie AtkinsonCharles- Podcast Domination Show by Luis DiazCharles- BuzzcastCharles- Podcast Talent CoachEóin- IKEA | IDÅSEN Desk sit/stand, black/dark gray63x31 1/2 "Eóin- Kinesis | Freestyle2 Split- Adjustable Keyboard for PCPeter- The Wolfram Physics ProjectPeter- PBS Space TimePeter- Youtube Channel | 3Blue1BrownPeter- Cracking the CodeAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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 PrimeCharles- The Expanse books and seriesAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.