StatQuest · "Machine Learning Fundamentals: Bias and Variance"
Thursday · M3 · after 3Blue1Brown · "Eigenvectors and eigenvalues" · Thursday, after V4
Produce: The bias-variance sentence in notes/ml/M3.md
In: LABLOOP-W03 Notebook
WEEK 07 · THE EXTRACTION AGENT, MEASURED
Do one thing.
Then you are ahead.
Now the junior analyst meets the answer key. You build extract/agent.py with two brains, a frontier model through the API and a local Qwen on your 3050, plus a fake brain for tests. Then you do the thing that distinguishes an AI scientist from an AI enthusiast: you measure it per field, not as one flattering average. It will be very good at "organism" and bad at "working volume", and that unevenness is the finding. …
If you only do one thing this week: the F1 table, whatever it says
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THE NEXT BLOCK
How long have you got?
By Sunday you should be able to say: “I can read my own F1 table aloud, say why the worst field fails, and explain why tuning on the gold set is dangerous.”
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MOMENTUM
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2026-09-29 18:29Finished: SciPy docs, scipy.integrate.solve_ivp2026-09-29 17:44Finished: LearnChemE (CU Boulder) · "Monod Cell Growth Example (Bio)"2026-09-28 22:11Finished: Crash Course Biology #3 · "Biological Molecules2026-09-28 21:50Finished: OpenStax Biology 2e2026-09-25 11:16Finished: OpenStax Biology 2e