CS189 Spring 2026 Lec 1–3: ML Problem Framing, Data Tools, Terminology and Techniques
The first three lectures of CS189 Spring 2026 hold off on derivations. They teach you how to tell whether a problem calls for ML, how to look at data with pandas and Plotly, and how to run one full train/validate/test cycle in scikit-learn. Lecture 1 has slides but no recording; Lectures 2–3 have slides and video; Discussion 1 is a calculus, linear algebra and probability warm-up with solutions and a walkthrough. Together they set you up directly for HW1.