Adventures in Machine Learning

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. Panel

• Charles Max Wood
• Miguel Morales

Guest

• Ather Fawaz

Sponsors

• Dev Heroes Accelerator

Picks

• Ather- Learn Quantum Computation using Qiskit
• Ather- Formula 1: Drive to Survive
• Charles- The Circle (2017)
• Miguel- Reinforcement Learning and Stochastic Optimization by Warren B. Powell

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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. Panel

• Charles Max Wood

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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. Panel

• Charles Max Wood

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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. Panel

• Charles Max Wood

Guest

• Ben Wilson

Sponsors

• Dev Heroes Accelerator

Picks

• Ben- DataTalks.Club
• Charles- Devchat.tv | She's in Tech
• Charles- Looking for sponsors for the show
• Charles- Walkie Talkie App for Team Communication | Voxer

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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 Wood
• Miguel Morales

Guest

• Edward Raff

Sponsors

• Dev Heroes Accelerator

Picks

• Charles- Docker
• Charles- Paramount+
• Edward- Java | Oracle
• Edward- Make-A-Wish America
• Miguel- Full Stack Deep Learning - Spring 2021

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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 Accelerator

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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 Accelerator

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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

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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: [email protected]

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 )

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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.

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