3Blue1Brown · "Eigenvectors and eigenvalues"
Thursday · M3 · Thursday, first
Produce: One sentence in notes/ml/M3.md: what last Friday's principal components actually are
455 CARDS · 41 WEEKS · EVERY SOURCE THE PLAN NAMES
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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
StatQuest · "Linear Regression, Clearly Explained!!!"
Thursday · M3 · after StatQuest · "Machine Learning Fundamentals: Bias and Variance" · Thursday, after V2
Produce: One regression fitted on two IndPenSim variables and read aloud: slope, intercept, what it means
In: LABLOOP-W03 Notebook
ISLP
Saturday sandbox
ISLP ch. 2 and 3.1-3.3 — statlearning.com (free PDF) + the matching Stanford Statistical Learning with Python videos. Moved out of core on 2026-09-29
In: LABLOOP-W03 Notebook
Crash Course Statistics
Saturday sandbox · after Kourti & MacGregor (1995), "Process analysis, monitoring and diagnosis, using multivariate proje…
Crash Course Statistics (YouTube), episodes on the normal distribution and control charts' ancestor, the z-score
Find it ↗
search
In: LABLOOP-W03 Notebook
Stanford Online · Statistical Learning with Python
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