scikit-learn co-founder Gaël Varoquaux and Jon Krohn are live at the historic Sorbonne in Paris, where they discuss the evolution of scikit-learn. From its origins as a memory-efficient Python implementation of support vector machines to its present-day status as a pivotal resource in machine learning, Gaël paints a vivid picture of its remarkable growth. Join us for a glimpse into scikit-learn's evolution, the realm of open-source collaboration, and the transformative power of data-driven insights in today's dynamic data landscape.

This episode is brought to you by Gurobi (gurobi.com/sds), the Decision Intelligence Leader, by Data Universe (https://datauniverse2024.com), the out-of-this-world data conference, and by CloudWolf (www.cloudwolf.com/sds), the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• The early beginnings and growth of scikit-learn [05:34]
• Development principles of scikit-learn [18:05]
• How to apply scikit-learn to your ML problem [21:16]
• Resource-efficiency and scikit-learn development [25:32]
• How to contribute to an open-source project like scikit-learn yourself [38:21]
• The future of scikit-learn [51:13]
• Gaël on the social-impact data projects in his Soda lab [1:02:33]
• Why domain expertise and statistical rigor are more important than ever [1:11:24]

Additional materials: www.superdatascience.com/737

The Super Data Science Podcast: Machine Learning | AI | Success

737: scikit-learn's Past, Present and Future, with scikit-learn co-founder Dr. Gaël Varoquaux

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

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