| Statistical Machine Learning | |
| Lectures are Monday and Wednesday 10:15-11:30 online via BigBlueButton (URL has been sent out, or ask me via email). | |
| Recitations are Wednesdays, 11:45-12:30 online via Zoom (meeting details have been sent out, or ask TAs via email). | |
| Instructors: | Christoph Lampert |
| announcements | schedule | references |
| Date | Lecture Topic | Slides | Assignments | |
| Oct 05 Mon | 1 | A Hands-On Introduction | exercise sheet 1: PDF
data: wine-train.txt, wine-test.txt | |
| Oct 07 Wed | 2 | Bayesian Decision Theory, Generative Probabilitistic Models | ||
| Oct 12 Mon | 3 | Discriminative Probabilistic Models | exercise sheet 2: PDF | |
| Oct 14 Wed | 4 | Maximum Margin Classifiers | ||
| Oct 19 Mon | 5 | Model Evaluation; Regularization; Model Selection | exercise sheet 3 PDF
data: XtrainIMG.txt, Ytrain.txt | |
| Oct 21 Wed | 6 | Bias/Fairness; Transfer Learning | ||
| Oct 26 Mon | - | no lecture (national holiday) | exercise sheet 4 PDF (v1.1 fixed error on Nov 1st) data: XtestIMG.txt, Ytest.txt XtrainIMG2.txt, Ytrain2.txt | |
| Oct 28 Wed | 7 | Learning Theory I | ||
| Nov 2 Mon | 8 | Learning Theory II | PDF extra notes: PDF | exercise sheet 5 PDF final project PDF |
| Nov 4 Wed | 9 | Learning Theory III, Deep Learning I | ||
| Nov 9 Mon | 10 | Deep Learning II | no exercise sheet | |
| Nov 11 Wed | 11 | Deep Learning III | ||
| Nov 16 Mon | 12 | Project Presentations | ||
| Nov 18 Wed | 13 | Buffer |
[1] Christopher Bishop: Pattern Recognition and Machine Learning, Springer, 2007. [2] Mohri, Rostamizadeh, Talwalkar: Foundations of Machine Learning, MIT Press, 2012. [3] Shalev-Shwartz, Ben-David: Understanding Machine Learning: From Theory to Algorithms, Cambridge University Press, 2014. [4] Hal Daume III: A Course in Machine Learning, online. [5] Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong: Mathematics for Machine Learning, online. [6] Solon Barocas, Moritz Hardt, Arvind Narayanan: Fairness and Machine Learning, online [7] Ian Goodfellow, Yoshua Bengio, Aaron Courville: Deep Learning, online ... and many others
| announcements | schedule | references |