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README.md

@@ -13,7 +13,7 @@ Materials for DATS0001 Foundations of Data Science, ULiège, Fall 2023.
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 | September 18 | _No class_ |
 | September 25 | [Course syllabus](https://glouppe.github.io/dats0001-foundations-of-data-science/?p=course-syllabus.md)<br> Lecture 1: Introduction<br>`nb01`: Build, compute, critique, repeat [[notebook](./nb01-box-loop.ipynb)]<br>Reading: Blei, [Build, Compute, Critique, Repeat](http://www.cs.columbia.edu/~blei/fogm/2020F/readings/Blei2014.pdf), 2014 [Section 1]<br>Reading: Box, [Science and Statistics](https://www.jstor.org/stable/2286841), 1976|
-| October 2 | Lecture 2: Data<br>`nb02`: Tables [[notebook](./nb02-tables.ipynb)]<br>`nb03`: Data wrangling [[notebook](./nb03-data-wrangling.ipynb)]<br>Reading: Harris et al, [Array programming with NumPy](https://www.nature.com/articles/s41586-020-2649-2), 2020 |
+| October 2 | Lecture 2: Data<br>`nb02`: Tables [[notebook](./nb02-tables.ipynb)], JAX [[notebook](./nb02b-jax.ipynb)]<br>`nb03`: Data wrangling [[notebook](./nb03-data-wrangling.ipynb)]<br>Reading: Harris et al, [Array programming with NumPy](https://www.nature.com/articles/s41586-020-2649-2), 2020 |
 | October 9 | Lecture 3: Visualization <br>`nb04`: Plots [[notebook](./nb04-plots.ipynb)]<br>`nb05`: Visualizing high-dimensional data [[notebook](./nb05-high-dimensional-data.ipynb)]<br>Reading: Rougier et al, [Ten Simple Rules for Better Figures](https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1003833&type=printable), 2014  |
 | October 16 | _No class_ |
 | October 23 | Lecture 4: Bayesian modeling <br>`nb06`: Latent variable models [[notebook](./nb06-latent-variable-models.ipynb)]<br>Reading: Gelman et al, [Bayesian workflow](https://arxiv.org/abs/2011.01808), 2020 [Sections 1 and 2]<br>Reading: Blei, [Build, Compute, Critique, Repeat](http://www.cs.columbia.edu/~blei/fogm/2020F/readings/Blei2014.pdf), 2014 [Sections 2 and 3] |