Lectures

If you have a question that you'd like us to bring up in the lectures, you can post it in this Padlet Links to an external site.

# Lecture Lecturer Preparation exercise Read Watch more Slides
Recording from 2022
F1 Introduction and math preliminaries JS 1, 2.1 3 min Links to an external site.  5 min Links to an external site. PDF Download PDF F1 (2022)
Introduction to statistical thinking DZ  
Introduction to Python Links to an external site. Python notebook Links to an external site. 
Solutions Links to an external site.
Google Colab Links to an external site.

 

F0 (2022)
F2 Basic regression, linear regression SM Python notebook Links to an external site.
Google Colab Links to an external site.
3.1, 3.A, 3.3, 5.3

PDF Download PDF ML Download ML

F2 (2022)
F3 Basic classification, logistic regression JS Python notebook Links to an external site.
Google Colab Links to an external site.
3.2, 4.5, (5.1) 15 min Links to an external site.  PDF Download PDF F3 (2022)
F4

Classification cont'd, discriminant analysis,
and nearest neighbours

SM Python notebook Links to an external site.
Google Colab Links to an external site.
10.1, 2.2 k-NN demo Links to an external site. PDF Download PDF F4 (2022)
F5 Generalization performance JS

Python notebook Links to an external site.
Google Colab Links to an external site.

4.1-4.4

12 min Links to an external site.
14 min Links to an external site.

PDF Download PDF F5 (2022)
F6 Tree-based methods, bagging, boosting JS Python notebook Links to an external site.
Google Colab Links to an external site.
2.3, 7.1-7.3, (7.4)   10 min Links to an external site. PDF Download PDF F6 (2022)
F7 Deep neural networks SM Python notebook Links to an external site.
Google Colab Links to an external site.
6.1,
"Logistic regression for more than two classes" in 3.2, 6.2-6.3 (skip "Backpropagation" in 6.2)

NN playground Links to an external site.

19 min Links to an external site.

5 min Links to an external site.

PDF Download PDF F7 (2022)
F8 Convolutional neural networks and numerical optimization PH Python notebook Links to an external site.
Google Colab Links to an external site.
6.3, 5.2, 5.4-5.5 3 min Links to an external site. 3 min Links to an external site. 21 min Links to an external site. PDF Download PDF F8 (2022)
F9 Limitations & new directions for supervised learning SM - 12 PDF Download PDF
F10  Summary and outlook SM PDF Download PDF

JS = Jens Sjölund
SM = Sebastian Mair
DZ = Dave Zachariah
PH = Paul Häusner