461: MLOps for Renewable Energy

Sam Hinton joins us to discuss his work since assisting COVID-19 data pipelines, now working in renewable energy and applications of ML and MLOps for the industry.

An episode of the Super Data Science: ML & AI Podcast with Jon Krohn podcast, hosted by Jon Krohn, titled "461: MLOps for Renewable Energy" was published on April 14, 2021 and runs 70 minutes.

April 14, 2021 ·70m · Super Data Science: ML & AI Podcast with Jon Krohn

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Summary

Sam Hinton joins us to discuss his work since assisting COVID-19 data pipelines, now working in renewable energy and applications of ML and MLOps for the industry. In this episode you will learn: Catching up with Sam [3:05] Updates on the COVID-19 data pipelines [7:07] Sam’s current work at Arenko [10:41] Sam’s stint on Survivor, PhD, and his software engineering background [16:32] Machine learning in renewable energy [35:23] Sam’s day-to-day tools [49:33] How can listeners utilize MLOps [53:08] Sam’s forthcoming novel [59:05] Additional materials: www.superdatascience.com/461

Episode Description

Sam Hinton joins us to discuss his work since assisting COVID-19 data pipelines, now working in renewable energy and applications of ML and MLOps for the industry. In this episode you will learn: Catching up with Sam [3:05] Updates on the COVID-19 data pipelines [7:07] Sam’s current work at Arenko [10:41] Sam’s stint on Survivor, PhD, and his software engineering background [16:32] Machine learning in renewable energy [35:23] Sam’s day-to-day tools [49:33] How can listeners utilize MLOps [53:08] Sam’s forthcoming novel [59:05] Additional materials: www.superdatascience.com/461

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