Barbara Oakley · "Learning how to learn"
Sunday, before writing post 0 · Sunday, before writing post 0
Produce: One line in notes/craft/W00.md: which ritual in Part 0.3 is your diffuse-mode slot
In: LABLOOP-W00 Notebook
455 CARDS · 41 WEEKS · EVERY SOURCE THE PLAN NAMES
Everything you could
study, filtered.
Every video, chapter, paper and repository in the programme, as one card each, with the time it costs and why it is there. Filter by how long you have.
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Richard Hamming · "You and Your Research"
Sunday, before writing post 0 · after Barbara Oakley · "Learning how to learn" · Only if you prefer voice to text — it replaces R1, it does not add to it. Play at 1.25× while packing the cockpit
Produce: Same output as R1
In: LABLOOP-W00 Notebook
Learning How to Learn
Any block this week · Optional substitute for V1 if you want the full treatment
Produce: Nothing. Do not enrol in the whole course
In: LABLOOP-W00 Notebook
LearnChemE (CU Boulder) · "Monod Cell Growth Example (Bio)"
Monday build block · Monday, before coding
Produce: A hand-sketched growth curve taped next to the screen
In: LABLOOP-W01 Notebook
3Blue1Brown · Essence of Linear Algebra
Thursday · M1 · Thursday, first
Produce: notes/ml/M1.md: what a matrix does to a vector; one example redone in NumPy
In: LABLOOP-W01 Notebook
Crash Course Biology #7 · "ATP & Respiration"
Tuesday · B2 · Tuesday, first
Produce: Three lines in notes/bio/B2.md: why DO falls when biomass grows
In: LABLOOP-W02 Notebook
3Blue1Brown · Essence of Calculus
Thursday · M2 · Thursday
Produce: notes/ml/M2.md: what a derivative is, in your own words
In: LABLOOP-W02 Notebook
StatQuest · "Principal Component Analysis (PCA), Step-by-Step"
Thursday · M2 · after 3Blue1Brown · Essence of Calculus · Before Friday's PCA code
Produce: The 3-line explanation of scores vs loadings you will paste into Sunday's post
In: LABLOOP-W02 Notebook
3Blue1Brown · "Eigenvectors and eigenvalues"
Thursday · M3 · Thursday, first
Produce: One sentence in notes/ml/M3.md: what last Friday's principal components actually are
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
Khan Academy · "Fermentation and anaerobic respiration"
Tuesday · B4 · Tuesday, first
Produce: One paragraph in notes/bio/B4.md: "what is a fermentation, really"
In: LABLOOP-W04 Notebook
StatQuest · "Machine Learning Fundamentals: Cross Validation"
Thursday · M4 · Thursday, first
Produce: The sentence "why random k-fold is wrong for batch data" in notes/ml/M4.md
In: LABLOOP-W04 Notebook
StatQuest "Regularization Part 1: Ridge (L2) Regression"
StatQuest "Regularization Part 1: Ridge (L2) Regression" and "Gradient Boost Part 1: Regression Main Ideas" (YouTube, 25 min)
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In: LABLOOP-W05 Notebook
StatQuest "Ridge vs Lasso Regression, Visualized!!!"
StatQuest "Ridge vs Lasso Regression, Visualized!!!" (YouTube) for the head you fit
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In: LABLOOP-W17 Notebook
StatQuest "PCA main ideas", "t-SNE, Clearly Explained" and "UMAP Dimension Reduction, Main Ideas…
StatQuest "PCA main ideas", "t-SNE, Clearly Explained" and "UMAP Dimension Reduction, Main Ideas!!!" (YouTube, 30 min) — the three plots every single-cell talk shows
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In: LABLOOP-W19 Notebook
Patrick Winston, "How to Speak"
Patrick Winston, "How to Speak" (MIT OCW / YouTube, ~1 h) — watch Saturday; it prepares both the mock sessions and the talk proposal
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search
In: LABLOOP-W20 Notebook
iBiology, "Uri Alon: How to Choose a Good Scientific Problem"
iBiology, "Uri Alon: How to Choose a Good Scientific Problem" (verify; talk version)
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In: LABLOOP-W21 Notebook
StatQuest "Spearman's Rank Correlation" if needed
StatQuest "Spearman's Rank Correlation" if needed (search; verify) and "Bootstrapping Main Ideas" (carry over)
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In: LABLOOP-W22 Notebook
Khan Academy / Crash Course refresh on protein folding and denaturation ("why heat unfolds prote…
Khan Academy / Crash Course refresh on protein folding and denaturation ("why heat unfolds proteins") (15 min)
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In: LABLOOP-W23 Notebook
Y Combinator Startup School, "How to Talk to Users"
Y Combinator Startup School, "How to Talk to Users" (Eric Migicovsky, YouTube, ~20 min)
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In: LABLOOP-W27 Notebook
Coursera Process Mining: Data Science in Action
Coursera Process Mining: Data Science in Action (Eindhoven), week 1 lecture on event logs (30 min) — cycle time from timestamps is process mining in miniature
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In: LABLOOP-W29 Notebook
Patrick Winston, "How to Speak"
Patrick Winston, "How to Speak" (MIT OCW / YouTube, ~1 h; re-watch the first 30 min)
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search
In: LABLOOP-W38 Notebook
Simon Peyton Jones, "How to give a great research talk"
Simon Peyton Jones, "How to give a great research talk" (Microsoft Research, YouTube)
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In: LABLOOP-W38 Notebook
Bill Burnett & Dave Evans, Designing Your Life (book, paid) — chapters on "odyssey plans"
Bill Burnett & Dave Evans, Designing Your Life (book, paid) — chapters on "odyssey plans" and "choosing well"; or Bill Burnett's TEDx talk "Designing Your Life" (YouTube, free) (30 min)
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In: LABLOOP-W40 Notebook