Adventures in Machine Learning

Annie Didier from NASA’s Jet Propulsion Lab talks to us about the Machine Learning algorithms and process that goes into how the next Mars rover will choose how it moves across the surface of Mars. She explains each algorithm and how they go together to make the decisions that the Rover makes. Panel

• Charles Max Wood

Guest

• Annie Didier

Sponsors

• Dev Influencers Accelerator

Links

• MAARS - Machine Learning-based Analytics for Automated Rover Systems (Final Presentation)
• SCOTI: Science Captioning of Terrain Images for data prioritization and local image search
• MAARS: Machine learning-based Analytics for Automated Rover Systems
• SULU: Scalable and Distributed Machine Learning Framework with Unified Encoder for Mars Rover Missions
• AI4Mars - Zooniverse
• LinkedIn: Annie Didier

Picks

• Annie- When Breath Becomes Air 
• Charles- The Martian 
• Charles- Back Market
• Charles- monday.com

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Gant's back!!! He's releasing a book with Manning Publishing about Tensorflow.js and he's here to discuss all the details with us. He explains the difference between Teonsorflow and Tensorflow.js and goes into some of the pros and cons of using it. He also explains the concepts he goes over for new ML engineers and for ML engineers learning JavaScript. Panel

• Charles Max Wood

Guest

• Gant Laborde

Sponsors

• Dev Influencers Accelerator

Links

• Learning TensorFlow.js by Gant Laborde
• Learning TensorFlow.js: Powerful Machine Learning in JavaScript  by Gant Laborde
• Twitter: Gant Laborde ( @GantLaborde )
• gantlaborde.com

Picks

• Charles- monday.com
• Charles- The Sales Development Playbook Trish Bertuzzi
• Gant- Antifragile by Nassim Nicholas Taleb 

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Charles talks about the things that get developers stuck when they're trying to start their podcast or other influencer channel. He explains how to get around having those things hamper your journey. Panel

• Charles Max Wood

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Charles Max Wood talks about how to build, grow, and benefit from positive relationships within programming. He talks about how he's built genuine positive relationships with hundreds of programmers and how he and others have grown from those relationships. He also explains that you get out of relationships what you put into them. Finally, he goes into how to begin to build relationships by building a system of influence you can use on behalf of the people you want relationships with. Panel

• Charles Max Wood

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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. Panel

• Charles Max Wood
• Miguel Morales

Sponsors

• Dev Influences Accelerator

Picks

• Charles- The Umbrella Academy
• Charles- The Sales Development Playbook
• Miguel- Deep Reinforcement Learning

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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. Panel

• Charles Max Wood

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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. Panel

• Charles Max Wood

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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. Panel

• Charles Max Wood

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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. Panel

• Charles Max Wood
• Miguel Morales

Guest

• Francois Bertrand

Sponsors

• Dev Influencers Accelerator

Links

• FRANCOIS BERTRAND | DATA VISUALIZATION DESIGNER

Picks

• Charles- Dev Influencers | Devchat.tv
• Charles- Teachable: Create and sell online course and teaching
• Charles- Walkie Talkie App for Team Communication | Voxer
• Charles- ThriveCart
• Charles- ScreenFlow
• Francios- Featuretools | An open source python framework for automated feature engineering
• Miguel- Deep Unsupervised Learning -- Berkeley Spring 2020

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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. Panel

• Charles Max Wood

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