WEEK 04 · L1: PUBLIC AND REPRODUCIBLE
In your corporate life, a deliverable is done when a steering committee signs it. In science, a result is done when a stranger can regenerate it without calling you. This week is your first licence exam. You will turn your alarms into two honest numbers (how many hours before harvest you detect a fault; how often you cry wolf on a normal batch), put them in a README with one command that regenerates them, and mint a…
THE NEXT BLOCK
Saturday sandbox · after James, Witten, Hastie, Tibshirani & Taylor, An Introduction to Statistical Learning with Applica…
Stanford Online · Statistical Learning with Python (Hastie, Tibshirani et al.) — Playlist: youtube.com/playlist?list=PLoROMvodv4rPP6braWoRt5UCXYZ71GZIQ · course page: online.stanford.edu/courses/sohs-ystatslearningp-statistical-learning-python. Moved out of core on 2026-09-29
In: LABLOOP-W03 Notebook
By Sunday you should be able to say: “A stranger can clone batchlens, run one command, and get my number. I can explain why batch-wise CV is not optional." --- # ACT II · The reading robot (weeks 5-8) > Act II story. Picture a consulting firm that hires a brilliant, impossibly fast junior analyst. On day one they could read 2,000 client reports over a weekend. No partner would send those summaries to a client without first grading the analyst's work on 50 reports the partner read personally. That is Act II. FermLit is the analyst (an LLM agent). The gold set is the partner's answer key. The F1 table is the performance review. And the technical report at week 8 is the first document you sign with your name as a scientist”
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