LABLOOP · THE DECK

455 CARDS · 41 WEEKS · EVERY SOURCE THE PLAN NAMES

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8 cards shown. Stashes: LABLOOP-W00 Notebook (15) LABLOOP-W01 Notebook (18) LABLOOP-W02 Notebook (15) LABLOOP-W03 Notebook (19) LABLOOP-W04 Notebook (17) LABLOOP-W05 Notebook (16) LABLOOP-W06 Notebook (12) LABLOOP-W07 Notebook (12) LABLOOP-W08 Notebook (15) LABLOOP-W09 Notebook (10) LABLOOP-W10 Notebook (11) LABLOOP-W11 Notebook (12) LABLOOP-W12 Notebook (12) LABLOOP-W13 Notebook (13) LABLOOP-W14 Notebook (12) LABLOOP-W15 Notebook (10) LABLOOP-W16 Notebook (14) LABLOOP-W17 Notebook (13) LABLOOP-W18 Notebook (10) LABLOOP-W19 Notebook (10) LABLOOP-W20 Notebook (10) LABLOOP-W21 Notebook (13) LABLOOP-W22 Notebook (10) LABLOOP-W23 Notebook (9) LABLOOP-W24 Notebook (9) LABLOOP-W25 Notebook (12) LABLOOP-W26 Notebook (11) LABLOOP-W27 Notebook (10) LABLOOP-W28 Notebook (6) LABLOOP-W29 Notebook (7) LABLOOP-W30 Notebook (10) LABLOOP-W31 Notebook (8) LABLOOP-W32 Notebook (5) LABLOOP-W33 Notebook (13) LABLOOP-W34 Notebook (12) LABLOOP-W35 Notebook (10) LABLOOP-W36 Notebook (8) LABLOOP-W37 Notebook (7) LABLOOP-W38 Notebook (6) LABLOOP-W39 Notebook (6) LABLOOP-W40 Notebook (6)

5/16 Read 75 min W05 Thursday AI & stats

ISLP

ISLP ch. 6.1-6.2 (subset selection, ridge, lasso) and ch. 8 (trees, bagging, boosting) (75 min, skim the proofs)

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In: LABLOOP-W05 Notebook

3/11 Read 45 min W10 Thursday AI & stats

Rasmussen & Williams, Gaussian Processes for Machine Learning, ch. 1-2 — gaussianprocess.org/gpm…

Rasmussen & Williams, Gaussian Processes for Machine Learning, ch. 1-2 — gaussianprocess.org/gpml (free) (45 min) after Görtler, Kehlbeck & Deussen (2019), "A Visual Exploration of Gaussian Processes", Distill — distill.pub/2019/visual-exploration-gaussian-processes (30 min, interactive; start here)

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In: LABLOOP-W10 Notebook

4/12 Read 45 min W11 Thursday AI & stats

Agnihotri & Batra (2020), "Exploring Bayesian Optimization"

Agnihotri & Batra (2020), "Exploring Bayesian Optimization", Distill — distill.pub/2020/bayesian-optimization (30 min, interactive; start here); then Frazier (2018), "A Tutorial on Bayesian Optimization", arXiv:1807.02811, sections 1-4 (45 min)

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In: LABLOOP-W11 Notebook

4/13 Read 30 min? W13 Thursday AI & stats

von Stosch et al. (2014), "Hybrid semi-parametric modeling in process systems engineering: past,…

von Stosch et al. (2014), "Hybrid semi-parametric modeling in process systems engineering: past, present and future", Computers & Chemical Engineering 60:86-101 (sections 1-3)

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In: LABLOOP-W13 Notebook

5/13 Read 30 min? W13 Thursday AI & stats

Chen et al. (2018), "Neural Ordinary Differential Equations"

Thursday · after von Stosch et al. (2014), "Hybrid semi-parametric modeling in process systems engineering: past,…

Chen et al. (2018), "Neural Ordinary Differential Equations", arXiv:1806.07366 (abstract + figure 1)

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In: LABLOOP-W13 Notebook

2/10 Read 60 min W15 Thursday AI & stats

Jurafsky & Martin, Speech and Language Processing

Jurafsky & Martin, Speech and Language Processing (3rd ed. draft, web.stanford.edu/~jurafsky/slp3), chapter on information extraction (relation extraction and evaluation sections) (60 min); write the kappa paragraph into Methods

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In: LABLOOP-W15 Notebook

4/14 Read 60 min W16 Thursday AI & stats

Angelopoulos & Bates

Angelopoulos & Bates (2021), "A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification", arXiv:2107.07511, sections 1-2 (60 min)

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In: LABLOOP-W16 Notebook

3/10 Read 75 min W20 Thursday AI & stats

P3 with the "staff ML scientist at a bioprocess company" persona; record a 10-minute explanation…

P3 with the "staff ML scientist at a bioprocess company" persona; record a 10-minute explanation of Paper 2 (75 min)

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In: LABLOOP-W20 Notebook

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