| Statistical Machine Learning | |
| Lectures are Monday and Wednesday 10:15-11:30 in Mondi 2 (except Oct 22: big seminar room, office building west) | |
| Recitations are Wednesdays, 11:45-12:30 in Mondi 2 | |
| Instructors: | Christoph Lampert |
| announcements | schedule | references |
Schedule (tentative, all dates are estimates)
| Date | Lecture Topic | Notes | Assignments |
| Oct 08 Mon | 1 - A Practical Introduction | PDF (updated 15/10/18) | handout: exercise sheet 1: PDF data: wine-train.txt, wine-test.txt |
| Oct 10 Wed | self-study (Christoph traveling) | e.g. refresh probability: PDF | |
| Oct 15 Mon | 2 - Bayesian Decision Theory, Generative Probabilitistic Models | handout: exercise sheet 2: PDF | |
| Oct 17 Wed | 3 - Discriminative Probabilistic Models, Maximum Margin Classifiers | ||
| Oct 22 Mon | 4 - Generalized Linear Classifiers, Optimization | handout: exercise sheet 3 PDF | |
| Oct 24 Wed | 5 - More optimization; Model Selection | ||
| Oct 29 Mon | tbd (Christoph traveling) | data: Xtrain.txt, Ytrain.txt handout: exercise sheet 4 PDF. Note: Exercise 5 has been updated after the Oct 31 recitation. | |
| Oct 31 Wed | 6 - Overfitting/Underfitting/Regularization | ||
| Nov 05 Mon | 7 - Learning Theory I | slides: PDF (new), notes: PDF | handout: exercise sheet 5 PDF |
| Nov 07 Wed | 8 - Learning Theory II: misc | slides: PDF | |
| Nov 12 Mon | 9 - Structured Prediction I | slides: PDF | handout: PDF final project (direct link) |
| Nov 14 Wed | 10 - Structured Prediction II | slides: PDF (new) | |
| Nov 19 Mon | 11 - Structured Prediction III | slides: PDF | |
| Nov 21 Wed | 12 - Structured Prediction IV | slides: PDF | |
[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] Hal Daume III: Mathematics for Machine Learning, online. [6] ... and many others
| announcements | schedule | references |