diff --git a/README.md b/README.md index 4ff2524..664b79e 100755 --- a/README.md +++ b/README.md @@ -19,7 +19,7 @@ Materials for DATS0001 Foundations of Data Science, ULiège, Fall 2024. | October 21 | Lecture 5: Markov Chain Monte Carlo
`nb05`: Markov Chain Monte Carlo [[notebook](./nb05-mcmc.ipynb)] [[sidenotes](./pdf/lec05-mcmc.pdf)]
Reading: Gelman et al, [Bayesian Data Analysis, 3rd](http://www.stat.columbia.edu/~gelman/book/BDA3.pdf), 2021 [Chapter 11] | | October 28 | _No class_ | | November 4 | Lecture 6: Expectation-Minimization
`nb06`: Expectation-Maximization [[notebook](./nb06-em.ipynb)] [[sidenotes](./pdf/lec06-em.pdf)]
Reading: Dempster et al, [Maximum Likelihood from Incomplete Data via EM](https://www.jstor.org/stable/2984875), 1977 | -| November 4 | Deadline of Homework 1 | +| November 8 | Deadline of Homework 1 | | November 11 | _No class_ | | November 18 | Lecture 7: Variational inference
`nb07`: ADVI [[notebook](./nb07-advi.ipynb)] [[sidenotes](./pdf/lec07-advi.pdf)]
Reading: Kucukelbir et al, [Automatic Differentiation Variational Inference](https://arxiv.org/abs/1603.00788), 2016 | | November 25 | Lecture 8: Model criticism
`nb08a`: Model checking [[notebook](./nb08a-model-checking.ipynb)]
`nb08b`: Model comparison [[notebook](./nb08b-model-comparison.ipynb)]
Reading: Gelman et al, [Bayesian Data Analysis, 3rd](http://www.stat.columbia.edu/~gelman/book/BDA3.pdf), 2021 [Chapters 6 and 7] | @@ -30,7 +30,7 @@ Materials for DATS0001 Foundations of Data Science, ULiège, Fall 2024. ## Homeworks -- Homework 1: Exploration of pulse oximetry data, November 4. +- Homework 1: Exploration of pulse oximetry data, November 8. - Homework 2: TBD - Homework 3: TBD - Exam-at-home: TBD