Hello, In this episode, Gaël details:
• The genesis, present capabilities and fast-moving future direction of scikit-learn. • How to best apply scikit-learn to your particular ML problem. • How ever-larger datasets and GPU-based accelerations impact the scikit-learn project. • How (whether you write code or not!) you can get started on contributing to a mega-impactful open-source project like scikit-learn yourself. • Hugely successful social-impact data projects his Soda lab has had recently. • Why statistical rigor is more important than ever and how software tools could nudge us in the direction of making more statistically sound decisions. VIDEO interview: https://www.jonkrohn.com/posts/2023/12/5/scikit-learns-past-present-and-future-with-scikit-learn-co-founder-dr-gal-varoquaux ---- Best, Reshama Shaikh
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