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Building the world's most popular data science platform

Practical AI

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Navigating the Future of Data Science: Accessibility and Community Engagement

This chapter delves into the transformations and hurdles in data science and machine learning, particularly the shift of software developers into ML roles. It emphasizes the need for accessible tools and ethical practices while highlighting the importance of community involvement for the future of data science platforms.

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