Podcast: Machine Learning and the Electric Grid with Aaron Epel from Stem

Aaron Epel, Senior Data Scientist at Stem, discusses the impact of machine learning on fault prediction, asset failure prediction, and preventive maintenance scheduling for energy grid operators. The conversation covers the challenges of data science in handling rare events and imbalanced datasets, as well as the future potential of ML in this field.

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Podcast: Math in Machine Learning. Who cares?

In this installment of the AI Coffee Chats podcast, Claire Longo and I discuss the role of math in Data Science, Artificial Intelligence and Machine Learning. We get stuck in to probability, calculus, linear algebra and statistics. I ask Claire for her take on the next big thing in AI. Math resources for machine learning and AIMathematics for Machine Learning and Data Science Specialization My reading list for leveling up my Poker game (learn poker math!) How to connect with Claire Longo…Web: https://statisticianinstilettos.com/LinkedIn: https://www.linkedin.com/in/claire-longo/Instagram: https://www.instagram.com/imjustclairebot/ Continue reading Podcast: Math in Machine Learning. Who cares?

Podcast: Your Data Science Career, with James Horine, Bayer

Welcome to the Coffee Chats about AI Podcast! My guest James Horine, lead applied scientist at Bayer, shares pearls of wisdom on the opportunities and frustrations of navigating the Individual Contributor (IC) and Manager roles in data science. Podcast Notes Connect with James Horine… LinkedIn: https://www.linkedin.com/in/jameshorine/ GitHub: https://github.com/jameshorine James H’s TidyAgronomy R Package for “Tidy” Agronomic Research, Development, and Deployment: https://github.com/modern-agronomy/ti… James H mentioned inspiration from a book called “The Good Enough Job”: https://www.penguinrandomhouse.com/bo… Continue reading Podcast: Your Data Science Career, with James Horine, Bayer