Future of Data Science
The conversation dives into the evolving landscape of data science, highlighting the importance of observability and model drift in production. There's a glimpse into the emergence of new roles, such as AI auditors, and an exciting announcement about a second edition of a popular book, which will include a dedicated chapter on NLP transformers—addressing a significant gap in the first edition.In this clip
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