Everything you could
study, filtered.

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

Khan Academy, Energy and enzymes → Activation energy

Saturday sandbox · after OpenStax Biology 2e, ch. 3 "Biological Macromolecules"

Khan Academy, Energy and enzymes → Activation energy (article) — One article + the practice set. Moved out of core on 2026-09-29

In: LABLOOP-W01 Notebook

Crash Course Biology #3 · "Biological Molecules — You Are What You Eat"

Saturday sandbox · after Khan Academy, Energy and enzymes → Activation energy

Crash Course Biology #3 · "Biological Molecules — You Are What You Eat" — youtube.com/watch?v=H8WJ2KENlK0. Moved out of core on 2026-09-29

In: LABLOOP-W01 Notebook

Khan Academy (MCAT) · "Enzymes and activation energy"

Saturday sandbox · after Crash Course Biology #3 · "Biological Molecules — You Are What You Eat"

Khan Academy (MCAT) · "Enzymes and activation energy" — khanacademy.org/…/v/enzymes-and-activation-energy. Moved out of core on 2026-09-29

In: LABLOOP-W01 Notebook

LearnChemE · "Washout Derivation in CSTR Bioreactor (Bio)"

Saturday sandbox · after Khan Academy (MCAT) · "Enzymes and activation energy"

LearnChemE · "Washout Derivation in CSTR Bioreactor (Bio)" — watch?v=L_bzv0bbU4M. The engineer's version of what happens when the feed stops — which is exactly Friday's injected fault

In: LABLOOP-W01 Notebook

MIT OCW 18.06 Linear Algebra

Saturday sandbox · after LearnChemE · "Washout Derivation in CSTR Bioreactor (Bio)"

MIT OCW 18.06 Linear Algebra (Gilbert Strang), lectures 1-3 — ocw.mit.edu/courses/18-06-linear-algebra-spring-2010. Only if 3Blue1Brown leaves you wanting proofs

In: LABLOOP-W01 Notebook

NPTEL Bioreactors

Saturday sandbox · after MIT OCW 18.06 Linear Algebra

NPTEL Bioreactors (Suraishkumar, IIT Madras), lecture 1 — nptel.ac.in/courses/102106053. A preview of week 09. (verify) course numbering

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 · Neural Networks

Saturday sandbox · after OpenStax Biology 2e, ch. 7 "Cellular Respiration"

3Blue1Brown · Neural Networks, ch. 1-2 — Topic page: 3blue1brown.com/topics/neural-networks. Moved out of core on 2026-09-29

In: LABLOOP-W02 Notebook

Steve Brunton

Saturday sandbox · after 3Blue1Brown · Neural Networks

Steve Brunton (@Eigensteve) · SVD series, first 3 videos — playlist PLMrJAkhIeNNSVjnsviglFoY2nXildDCcv, overview video watch?v=gXbThCXjZFM. PCA's engine explained by an engineer; you will want this again in weeks 12-17

In: LABLOOP-W02 Notebook

Ninja Nerd · glycolysis and Krebs cycle lectures

Saturday sandbox · after Deisenroth, Faisal & Ong, Mathematics for Machine Learning, ch. 10 "Dimensionality Reduction wit…

Ninja Nerd · glycolysis and Krebs cycle lectures (long, whiteboard) — channel search by title, only if respiration is still abstract. (verify) no fixed video ID recorded

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

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

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

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 · "Bootstrapping Main Ideas!!!"

Saturday sandbox · after Sandve G. et al., "Ten Simple Rules for Reproducible Computational Research", PLOS Comp. Biol. 9…

StatQuest · "Bootstrapping Main Ideas!!!" — Channel: youtube.com/@statquest — search the exact title. (verify): no stable video ID confirmed on 2026-09-15. Moved out of core on 2026-09-29

In: LABLOOP-W04 Notebook

Crash Course Biology #11 "DNA, Hot Pockets, & The Longest Word Ever"

Tuesday · after OpenStax Biology 2e

Crash Course Biology #11 "DNA, Hot Pockets, & The Longest Word Ever" (YouTube, 13 min)

In: LABLOOP-W05 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)

In: LABLOOP-W05 Notebook

Statistical Rethinking 2024

Statistical Rethinking 2024, lectures 1-2 (YouTube, from github.com/rmcelreath/stat_rethinking_2024) or Murphy, Probabilistic Machine Learning: An Introduction, ch. 2 — probml.github.io/pml-book/book1.html (75 min). Pick Rethinking if you want stories; Murphy if you want equations

In: LABLOOP-W06 Notebook

3Blue1Brown "Bayes theorem, the geometry of changing beliefs"

Saturday sandbox · after McHugh (2012), "Interrater reliability: the kappa statistic"

3Blue1Brown "Bayes theorem, the geometry of changing beliefs" (YouTube, 15 min)

In: LABLOOP-W06 Notebook

MIT OCW 7.016 lectures on protein structure and enzymes

MIT OCW 7.016 lectures on protein structure and enzymes (ocw.mit.edu/courses/7-016-introductory-biology-fall-2018), ~50 min

In: LABLOOP-W07 Notebook

Khan Academy "Steady states and the Michaelis Menten equation"

Tuesday · after MIT OCW 7.016 lectures on protein structure and enzymes

Khan Academy "Steady states and the Michaelis Menten equation" (MCAT section) (15 min)

In: LABLOOP-W07 Notebook

Statistical Rethinking 2024

Statistical Rethinking 2024 lectures 3-4 (YouTube, 75 min)

In: LABLOOP-W07 Notebook

Karpathy, "Deep Dive into LLMs like ChatGPT"

Saturday sandbox · after DSPy (Stanford NLP) documentation "Optimizers"

Karpathy, "Deep Dive into LLMs like ChatGPT" (YouTube, 3.5 h; watch the first hour on hallucination and tool use)

In: LABLOOP-W07 Notebook

Ninja Nerd "Enzyme kinetics" lecture

Saturday sandbox · after Karpathy, "Deep Dive into LLMs like ChatGPT"

Ninja Nerd "Enzyme kinetics" lecture (YouTube) for Michaelis-Menten in depth

In: LABLOOP-W07 Notebook

Karpathy, "The spelled-out intro to neural networks and backpropagation: building micrograd"

Karpathy, "The spelled-out intro to neural networks and backpropagation: building micrograd" (YouTube, 2 h 25 min; watch the first 75 min Thursday, the rest Saturday while rewriting from memory)

In: LABLOOP-W08 Notebook

3Blue1Brown Neural Networks ch. 3-4 ("Backpropagation, intuitively"

Saturday sandbox · after Kadlec, Gabrys & Strandt (2009), "Data-driven soft sensors in the process industry"

3Blue1Brown Neural Networks ch. 3-4 ("Backpropagation, intuitively" and "Backpropagation calculus")

In: LABLOOP-W08 Notebook

Simon Peyton Jones, "How to write a great research paper"

Saturday sandbox · after Stanford CS231n notes "Backpropagation, intuitions"

Simon Peyton Jones, "How to write a great research paper" (YouTube) — watch now, not in week 18, because the report is a mini-paper

In: LABLOOP-W08 Notebook

NPTEL Bioreactors

NPTEL Bioreactors (Suraishkumar, IIT Madras), lectures 1-3 — nptel.ac.in/courses/102106053 (also on YouTube; ~75 min at 1.25x). Notebook: batch, fed-batch and continuous balances

In: LABLOOP-W09 Notebook

Karpathy, "The spelled-out intro to language modeling: building makemore"

Karpathy, "The spelled-out intro to language modeling: building makemore" (YouTube, ~2 h; first 75 min Thursday)

In: LABLOOP-W09 Notebook

MIT OCW 10.37 Chemical and Biological Reaction Engineering

Saturday sandbox

MIT OCW 10.37 Chemical and Biological Reaction Engineering (Spring 2007), lecture notes on bioreactors — ocw.mit.edu/courses/10-37-chemical-and-biological-reaction-engineering-spring-2007

In: LABLOOP-W09 Notebook

LearnChemE "mass balance" screencasts

Saturday sandbox · after Coursera Industrial Biotechnology

LearnChemE "mass balance" screencasts (YouTube)

In: LABLOOP-W09 Notebook

Karpathy "Intro to Large Language Models"

Saturday sandbox · after LearnChemE "mass balance" screencasts

Karpathy "Intro to Large Language Models" (YouTube, 1 h) for a bird's-eye view

In: LABLOOP-W09 Notebook

NPTEL Bioreactors

NPTEL Bioreactors lectures 4-6 (Monod, yields, maintenance) (75 min)

In: LABLOOP-W10 Notebook

ritvikmath "Gaussian Processes"

Saturday sandbox

ritvikmath "Gaussian Processes" (YouTube, whiteboard intuition)

In: LABLOOP-W10 Notebook

StatQuest "Confidence Intervals, Clearly Explained" and "The Standard Error"

Saturday sandbox · after ritvikmath "Gaussian Processes"

In: LABLOOP-W10 Notebook

NPTEL Bioreactors lectures on oxygen transfer

NPTEL Bioreactors lectures on oxygen transfer (kLa), mixing and scale-up (75 min)

In: LABLOOP-W11 Notebook

Brunton "Bayesian optimization" lecture

Saturday sandbox · after NCBI Taxonomy and E-utilities documentation

Brunton "Bayesian optimization" lecture (search in his channel; verify)

In: LABLOOP-W11 Notebook

Brunton & Kutz, Data-Driven Science and Engineering (2nd ed.), ch. 7 on SINDy — databookuw.com (…

Brunton & Kutz, Data-Driven Science and Engineering (2nd ed.), ch. 7 on SINDy — databookuw.com (free PDF) (40 min) + Steve Brunton "Sparse Identification of Nonlinear Dynamics (SINDy)" (YouTube, 30 min)

In: LABLOOP-W12 Notebook

Steve Brunton "Physics Informed Machine Learning" series

Saturday sandbox · after arXiv endorsement page

Steve Brunton "Physics Informed Machine Learning" series (YouTube), first 2 videos

In: LABLOOP-W12 Notebook

Steve Brunton "Neural ODEs"

Saturday sandbox

Steve Brunton "Neural ODEs" (YouTube)

In: LABLOOP-W13 Notebook

Stanford CS197 (cs197.stanford.edu), lecture on "vertical paper structure"

Saturday sandbox · after Karniadakis et al. (2021), "Physics-informed machine learning"

Stanford CS197 (cs197.stanford.edu), lecture on "vertical paper structure" (verify lecture title)

In: LABLOOP-W13 Notebook

StatQuest "False Discovery Rates, FDR, clearly explained" and "p-hacking: What it is and how to…

Tuesday · after Modern Statistics for Modern Biology ch. 6 "Testing"

StatQuest "False Discovery Rates, FDR, clearly explained" and "p-hacking: What it is and how to avoid it!" (YouTube, 20 min)

In: LABLOOP-W14 Notebook

Stanford CS336 lecture on evaluation

Stanford CS336 lecture on evaluation (cs336.stanford.edu, videos on Stanford Online YouTube) (60 min); your week 7 notes on Zheng et al. 2023 judge biases (15 min)

In: LABLOOP-W14 Notebook

S. Keshav (2007), "How to Read a Paper"

S. Keshav (2007), "How to Read a Paper", ACM SIGCOMM Computer Communication Review 37(3):83-84 (2 pages, 15 min); then three FermLit papers with P11 and IMRaD noted (60 min)

In: LABLOOP-W15 Notebook

StatQuest "Statistical Power, Clearly Explained"

Saturday sandbox · after ASAPbio preprint FAQ

StatQuest "Statistical Power, Clearly Explained" — reviewers may ask whether 50 gold papers is enough

In: LABLOOP-W15 Notebook

MIT 6.874 Deep Learning in the Life Sciences

Tuesday · after Lin et al. (2023), "Evolutionary-scale prediction of atomic-level protein structure with a langu…

MIT 6.874 Deep Learning in the Life Sciences (Manolis Kellis, 2021, YouTube playlist), protein lecture (first 40 min)

In: LABLOOP-W16 Notebook

DeepMind, "AlphaFold: The making of a scientific breakthrough"

Saturday sandbox · after Rives et al. (2021), "Biological structure and function emerge from scaling unsupervised learnin…

DeepMind, "AlphaFold: The making of a scientific breakthrough" (YouTube, 8 min) — the emotional context of protein AI

In: LABLOOP-W16 Notebook

Nobel Prize in Chemistry 2024 lectures

Saturday sandbox · after DeepMind, "AlphaFold: The making of a scientific breakthrough"

Nobel Prize in Chemistry 2024 lectures (Baker, Hassabis, Jumper) — nobelprize.org

In: LABLOOP-W16 Notebook

Anastasios Angelopoulos' conformal prediction tutorial videos

Saturday sandbox · after Nobel Prize in Chemistry 2024 lectures

Anastasios Angelopoulos' conformal prediction tutorial videos (YouTube; verify)

In: LABLOOP-W16 Notebook

Valence Labs (YouTube), search "ESM" or "protein language models"

Saturday sandbox · after Anastasios Angelopoulos' conformal prediction tutorial videos

Valence Labs (YouTube), search "ESM" or "protein language models" in the M2D2 reading group

In: LABLOOP-W16 Notebook

Hugging Face model card facebook/esm2_t33_650M_UR50D

Hugging Face model card facebook/esm2_t33_650M_UR50D (10 min) + MIT 6.874 protein lecture second half (40 min); code block with ridge head

In: LABLOOP-W17 Notebook

Yang, Wu & Arnold (2019), "Machine-learning-guided directed evolution for protein engineering"

Saturday sandbox

Yang, Wu & Arnold (2019), "Machine-learning-guided directed evolution for protein engineering", Nature Methods 16:687-694. The classic review; read it before week 21

In: LABLOOP-W17 Notebook

Frances Arnold, Nobel Lecture 2018 "Innovation by Evolution: Bringing New Chemistry to Life"

Saturday sandbox · after Yang, Wu & Arnold (2019), "Machine-learning-guided directed evolution for protein engineering"

Frances Arnold, Nobel Lecture 2018 "Innovation by Evolution: Bringing New Chemistry to Life" (nobelprize.org)

In: LABLOOP-W17 Notebook

StatQuest "Ridge vs Lasso Regression, Visualized!!!"

StatQuest "Ridge vs Lasso Regression, Visualized!!!" (YouTube) for the head you fit

In: LABLOOP-W17 Notebook

Two founder or scientific-lead papers from extremophile-focused GridX companies (Puna Bio, Antar…

Two founder or scientific-lead papers from extremophile-focused GridX companies (Puna Bio, Antarka, APEXzymes authors), found via Europe PMC / Google Scholar, digested with P11 (75 min). Background first: Crash Course Biology "Old & Odd: Archaea, Bacteria & Protists" (#35, YouTube, 12 min)

In: LABLOOP-W18 Notebook

Simon Peyton Jones, "How to write a great research paper"

Simon Peyton Jones, "How to write a great research paper" (YouTube, Microsoft Research, ~1 h) + NeurIPS Paper Checklist (neurips.cc, current year's author guidelines) (30 min)

In: LABLOOP-W18 Notebook

Stanford CS197, lecture on "writing the paper"

Saturday sandbox · after Rothschild & Mancinelli (2001), "Life in extreme environments"

Stanford CS197, lecture on "writing the paper" (verify title)

In: LABLOOP-W18 Notebook

MIT 6.874 single-cell lecture

Saturday sandbox · after Single-cell best practices

MIT 6.874 single-cell lecture (Kellis, YouTube)

In: LABLOOP-W19 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

In: LABLOOP-W19 Notebook

Stanford CS197 lecture on research talks and posters

Saturday sandbox · after Richard Hamming, You and Your Research

Stanford CS197 lecture on research talks and posters (verify title)

In: LABLOOP-W20 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

In: LABLOOP-W20 Notebook

Valence Labs

Saturday sandbox · after Yang, Wu & Arnold

Valence Labs (YouTube) reading-group talks on protein language models

In: LABLOOP-W21 Notebook

Frances Arnold on iBiology

Saturday sandbox · after Valence Labs

Frances Arnold on iBiology (directed evolution talks; verify)

In: LABLOOP-W21 Notebook

iBiology, "Uri Alon: How to Choose a Good Scientific Problem"

iBiology, "Uri Alon: How to Choose a Good Scientific Problem" (verify; talk version)

In: LABLOOP-W21 Notebook

Brady Neal, Introduction to Causal Inference

Brady Neal, Introduction to Causal Inference, lecture 1 (YouTube) and book ch. 1 (free PDF on the course site) (75 min)

In: LABLOOP-W22 Notebook

Cunningham, Causal Inference: The Mixtape

Saturday sandbox

Cunningham, Causal Inference: The Mixtape — mixtape.scunning.com, ch. 3 (directed acyclic graphs)

In: LABLOOP-W22 Notebook

Coursera A Crash Course in Causality

Saturday sandbox · after Huntington-Klein, The Effect

Coursera A Crash Course in Causality (Penn), week 1

In: LABLOOP-W22 Notebook

StatQuest "Spearman's Rank Correlation" if needed

StatQuest "Spearman's Rank Correlation" if needed (search; verify) and "Bootstrapping Main Ideas" (carry over)

In: LABLOOP-W22 Notebook

UniProt REST API documentation

Saturday sandbox

UniProt REST API documentation (rest.uniprot.org) and the BRENDA enzyme database (brenda-enzymes.org) for reported temperature optima

In: LABLOOP-W23 Notebook

iBiology talks on extremophiles and enzymes

Saturday sandbox · after UniProt REST API documentation

iBiology talks on extremophiles and enzymes (search; verify)

In: LABLOOP-W23 Notebook

Crash Course Biology #35 "Old & Odd"

Saturday sandbox · after iBiology talks on extremophiles and enzymes

Crash Course Biology #35 "Old & Odd" (carry over)

In: LABLOOP-W23 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)

In: LABLOOP-W23 Notebook

StatQuest on ANOVA and "Design matrices"

Saturday sandbox · after Bambi documentation

StatQuest on ANOVA and "Design matrices" (search in channel)

In: LABLOOP-W25 Notebook

Midani, Collins & Britton (2021), "AMiGA: software for automated analysis of microbial growth as…

Saturday sandbox · after Sprouffske & Wagner

Midani, Collins & Britton (2021), "AMiGA: software for automated analysis of microbial growth assays", mSystems 6:e00508-21 — an open-source Python tool that fits growth curves without assuming their shape (pip install amiga)

In: LABLOOP-W26 Notebook

Khan Academy / LabXchange on spectrophotometry and optical density

Saturday sandbox · after NCATS Assay Guidance Manual

In: LABLOOP-W26 Notebook

David Maister, Charles Green & Robert Galford, The Trusted Advisor

Saturday sandbox

David Maister, Charles Green & Robert Galford, The Trusted Advisor (book, paid) — the trust equation

In: LABLOOP-W27 Notebook

Stanford eCorner (ecorner.stanford.edu) — search talks on "customer discovery"

Saturday sandbox · after Alan Weiss, Value-Based Fees

Stanford eCorner (ecorner.stanford.edu) — search talks on "customer discovery" and "B2B sales for technical founders"

In: LABLOOP-W27 Notebook

Y Combinator Startup School, "How to Talk to Users"

Y Combinator Startup School, "How to Talk to Users" (Eric Migicovsky, YouTube, ~20 min)

In: LABLOOP-W27 Notebook

Getting to Yes

Saturday sandbox

Getting to Yes (Fisher, Ury & Patton; book, paid) — principled negotiation, if price is contested

In: LABLOOP-W28 Notebook

Stanford eCorner talks on first customers

Saturday sandbox · after Getting to Yes

Stanford eCorner talks on first customers (search)

In: LABLOOP-W28 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

In: LABLOOP-W29 Notebook

StatQuest "Statistical Power"

Tuesday · after Cumming (2014) "The new statistics"

StatQuest "Statistical Power" (carry over)

In: LABLOOP-W30 Notebook

Stanford CS197 lecture on co-authoring and feedback

Saturday sandbox · after Target journal author guidelines chosen with the partner

Stanford CS197 lecture on co-authoring and feedback (verify)

In: LABLOOP-W31 Notebook

Lewis et al. (2020), "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks"

Lewis et al. (2020), "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks", NeurIPS, abstract + figure 1 (15 min)

In: LABLOOP-W34 Notebook

Es et al. (2023), "RAGAS: Automated Evaluation of Retrieval Augmented Generation"

Tuesday · after Lewis et al. (2020), "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks"

Es et al. (2023), "RAGAS: Automated Evaluation of Retrieval Augmented Generation", arXiv:2309.15217 (30 min)

In: LABLOOP-W34 Notebook

Stanford CS224N lecture on retrieval/RAG

Tuesday · after Es et al. (2023), "RAGAS: Automated Evaluation of Retrieval Augmented Generation"

Stanford CS224N lecture on retrieval/RAG (web.stanford.edu/class/cs224n; verify current lecture list) (30 min)

In: LABLOOP-W34 Notebook

The Trusted Advisor

Saturday sandbox · after Chip Huyen, Designing Machine Learning Systems

The Trusted Advisor (carry over) for running a pilot relationship

In: LABLOOP-W37 Notebook

Nancy Duarte, "The secret structure of great talks"

Saturday sandbox

Nancy Duarte, "The secret structure of great talks" (TEDx, YouTube)

In: LABLOOP-W38 Notebook

Patrick Winston, "How to Speak"

Patrick Winston, "How to Speak" (MIT OCW / YouTube, ~1 h; re-watch the first 30 min)

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)

In: LABLOOP-W38 Notebook

Uri Alon's talk and essay on "the cloud" in research

Saturday sandbox

Uri Alon's talk and essay on "the cloud" in research (iBiology; verify)

In: LABLOOP-W40 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)

In: LABLOOP-W40 Notebook