Schedule

Event

Date

Description

Course Material
Lab

09/01/2023 02:30 PM -- CEST
Friday

Scientific computing in Python, foundations of probability theory

[Notebook - Intro Python] [Notebook - foundations of probability theory]
Lecture

09/01/2023 04:15 PM -- CEST
Friday

Class Introduction

[slides] [survey]
Lecture

09/05/2023 04:15 PM -- CEST
Tuesday

Pattern recognition: Introduction

[slides-pattern-recognition-1]
Lab

09/07/2023 02:30 PM -- CEST
Thursday

Make your first ML prediction, the perceptron

[Notebook - Make your first ML prediction] [Solution - Make your first ML prediction] [Monolayer perceptron]
Lecture

09/07/2023 04:15 PM -- CEST
Thursday

Pattern recognition: The artificial neurone, perceptron (1)

[slides-pattern-recognition-2]
Lecture

09/12/2023 04:15 PM -- CEST
Tuesday

Pattern recognition: The artificial neurone, perceptron (2)

[slides-pattern-recognition-2]
Lab

09/14/2023 02:30 PM -- CEST
Thursday

Probability, Linear algebra, Calculcus

[Notebook - Probability, linear algebra]
Lecture

09/14/2023 04:15 PM -- CEST
Thursday

Pattern recognition: The artificial neurone, perceptron (3)

[slides-pattern-recognition-2]
Lecture

09/19/2023 04:15 PM -- CEST
Tuesday

Pattern recognition: The artificial neurone, perceptron (4)

[slides-pattern-recognition-2]
Lab

09/21/2023 02:30 PM -- CEST
Thursday

Linear classifiers, Perceptron

[Notebook - Probability, linear algebra] [Monolayer perceptron]
Lecture

09/26/2023 04:15 PM -- CEST
Tuesday

Pattern recognition: The artificial neurone, perceptron (5)

[slides-pattern-recognition-2]
Lab

09/28/2023 02:30 PM -- CEST
Thursday

Machine learning pipeline

[Monolayer perceptron] [Notebook - assignment_1] [Notebook - assignment_1_solutions]
Lecture

10/03/2023 04:15 PM -- CEST
Tuesday

Pattern recognition: Ensemble learning, deep nets, SVM (1)

[slides-pattern-recognition-3]
Lab

10/04/2023 02:30 PM -- CEST
Wednesday

Model complexity

[Model complexity]
Lecture

10/05/2023 04:15 PM -- CEST
Thursday

Pattern recognition: Ensemble learning, deep nets, SVM (2)

[slides-pattern-recognition-3]
Lecture

10/10/2023 04:15 PM -- CEST
Tuesday

Beyond pattern recognition: similarity scoring

[slides-similarity_scoring]
Lab

10/12/2023 02:30 PM -- CEST
Thursday

Neural nets

[Neural nets]
Lecture

10/12/2023 04:15 PM -- CEST
Thursday

Unsupervised learning

[slides-clustering]
Lecture

10/17/2023 04:15 PM -- CEST
Tuesday

Unsupervised learning: dimension reduction (1)

[slides-dimension_reduction]
Lab

10/19/2023 02:30 PM -- CEST
Thursday

Neural nets

[Similarity] [ML for Music]
Lab

11/09/2023 01:30 PM -- CET
Thursday

Unsupervised learning

[Kmeans]
Lecture

11/10/2023 03:15 PM -- CET
Friday

Unsupervised learning: dimension reduction (2)

[slides-dimension_reduction]
Lab

11/16/2023 01:30 PM -- CET
Thursday

Graphs

[Learning on graphs]
Lecture

11/16/2023 03:15 PM -- CET
Thursday

Graphs

[slides-graphs]
Lab

11/17/2023 01:30 PM -- CET
Friday

Blind source separation

[ICA notebook] [audio 1] [audio 2]
Lecture

11/21/2023 03:15 PM -- CET
Tuesday

Reinforcement learning

[slides-Q-learning]
Lab

11/23/2023 01:30 PM -- CET
Thursday

Q-learning

[Q-learning notebook]