455 CARDS · 41 WEEKS · EVERY SOURCE THE PLAN NAMES
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.
6 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)
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)
In: LABLOOP-W10 Notebook
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)
In: LABLOOP-W11 Notebook
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)
In: LABLOOP-W13 Notebook
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)
In: LABLOOP-W13 Notebook
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
In: LABLOOP-W15 Notebook
Angelopoulos & Bates (2021), "A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification", arXiv:2107.07511, sections 1-2 (60 min)
In: LABLOOP-W16 Notebook