Data Science #35
Andriy Burkov
PhD in AI, ML at TalentNeuron, author of ?? The Hundred-Page Machine Learning Book and ?? the Machine Learning Engineering book
In this issue: alternatives to cosine similarity; understanding Gaussians; scaling to multi-terabyte datasets; coding for structured generation with LLMs; a tutorial on bayesian optimization; methods for comparing spatial patterns in raster data; and more.
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2 周https://techcrunch.com/2024/11/04/perplexity-ceo-offers-to-replace-striking-nyt-staff-with-ai/
Andriy Burkov, that sounds like a packed edition! Data science is always evolving, so keep pushing those boundaries! What's the most intriguing topic for you?
Andriy Burkov, that's a jam-packed lineup. From LLMs to Bayesian optimization—gotta love the variety. Interested in any specific topic?