Data Science #29
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: how to price a data asset; interpretable time-series modelling using Gaussian processes; introduction to mechanistic interpretability; predictive visualizations that changed the world; sampling with SQL; reproducible data science in R; and more.
The sponsors of this issue are Galileo and True Positive Inc.
Introducing a new FREE eBook by Galileo – Mastering RAG: a comprehensive guide for building enterprise-grade RAG systems! Enjoy 200 pages of in-depth content on chunking, embeddings, reranking, hallucinations, vector databases, RAG architecture, testing, evaluation, and so much more...
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