Adventures in Machine Learning

Multi-modal AI and Machine Teaching ft. Slater Victoroff – ML 045

Slater Victoroff joins the Adventure to discuss mutli-modal AI and machine teaching with the panel. He starts out explaining what multi-modal AI is and how it works. The conversation goes deep before veering into Machine Teaching. Panel Ben Wilson Francois Bertrand Guest Slater Victoroff Sponsors Dev Influencers Accelerator Level Up | Devchat.tv PodcastBootcamp.io Links LinkedIn:…

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How to Launch the Next Stage of Your Career – BONUS

Charles Max Wood explains how podcasting has repeatedly opened up opportunities for him to move his career forward. He dives into how it helped early in his career, how he was able to use it as a tool to find freelance clients, and how it can take you beyond a full time senior developer job…

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AI Assisted Development ft. Sydney Lai – ML 044

Sydney Lai joins the Adventure to discuss how she and her colleagues build AI assisted features for developers and how that they handle scenarios that they can’t always plan for. Panel Ben Wilson Charles Max Wood Guest Sydney Lai Sponsors Dev Influencers Accelerator Level Up | Devchat.tv PodcastBootcamp.io Links Developer Community | OutSystems Software Downloads…

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Data + ML: What Could Go Wrong? ft. Sandeep Uttamchandani – ML 043

Sandeep Uttamchandani joins the Adventure to discuss the relationships between Data Science and Machine Learning. He walks through the ways you should set up, manage, and consider the data you use to build and train your Machine Learning systems to get the outcomes that you want. Panel Ben Wilson Charles Max Wood Guest Sandeep Uttamchandani…

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From Software Engineer to Data Engineer ft. Alexey Grigorev – ML 042

Alexey Grigorev joins the Adventure to discuss how software engineers can begin making the transition from Software Engineer to Data Scientist in their career. Ben Wilson also gets asked about this frequently and chimes in with his experience. Panel Charles Max Wood Ben Wilson Francois Bertrand Guest Alexey Grigorev Sponsors Dev Influencers Accelerator Links From…

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Don’t Follow the Default Developer Career Path – BONUS

Charles Max Wood explains the default path that developers seem to follow in their career and why that doesn’t give developers the fulfillment they’re looking for. He then walks through some of the options to change the direction of your career. Panel Charles Max Wood

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Writing Production Code for ML ft. Ken Youens-Clark – ML 041

Ken Youens-Clark joins the adventure to discuss how to write well factored code with tests to help ML be more approachable. He, Ben, and Chuck discuss what it takes to write good code that runs efficiently, is easy to maintain, and still get ML work done. Panel Ben Wilson Charles Max Wood Guest Ken Youens-Clark…

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Machine Learning for Tabular Data in Practice ft. Mark Ryan – ML 040

Mark Ryan is our first returning guest to the Adventure. He has created a video series for Manning showing how to use Machine Learning for Tabular data. He walks Ben Wilson through the ins and outs of applying Deep Learning to tabular data sets and the how to find instances where this practice might be…

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Transformers and Attention in Machine Learning ft. Ekrem Aksoy – ML 039

Ekrem Aksoy joins the adventure to discuss transformers and the method of helping Machine Learning algorithms focus on the important parts of an image to determine what to do. Panel Ben Wilson Charles Max Wood Daniel Svoboda Francois Bertrand Guest Ekrem Aksoy Sponsors Dev Influencers Accelerator Links Attention to Transformers Attention in the Human Brain…

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Mentorship in Machine Learning – ML 038

Ben Wilson explains the recent developments at DataBricks with their Machine Learning mentorship program for some of their experts. He talks about his approach to helping the Data Scientists and Developers he’s mentoring to understand Machine Learning more deeply and gives advice on how others could and should drive their career forward with Machine Learning….

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Productionized Machine Learning Engineers featuring Laszlo Sragner – ML 037

Laszlo Sragner joins the adventure to discuss how to make your machine learning approach production ready. The discussion ranges through code quality and how to build and manage your models to keep them production ready and delivering the outcomes you’re looking for. Panel Ben Wilson Charles Max Wood Francois Bertrand Guest Laszlo Sragner Sponsors Dev…

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Data Pipelines with Metaflow featuring Ville Tuulos – ML 036

Ville Tuulos is a former Netflix data scientist and engineer who now helps people manage their data pipelines. He’s the author of Effective Data Science Infrastructure from Manning publishing and the creator of the Metaflow system for managing data pipelines. He explains how to think about data and how to plan out, how to gather,…

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