A data scientist's 8-book shortlist: four technical + four business
mdancho84 · x · 2026-10-25
mdancho84 shares a shortlist for getting into data science and AI: four technical books — Chip Huyen's Designing Machine Learning Systems and AI Engineering, Practical Statistics for Data Scientists, and Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow — plus four business/leadership reads: The Lean Startup, Good Strategy Bad Strategy, The First 90 Days, and The Hard Thing About Hard Things. The accompanying image layers the shelf into Foundation, ML Systems, LLM/AI Agent, and Advanced System, adding NLP and LangChain titles.
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