Go to course navigation

Schedule and Materials

The course introduces students to selected advanced topics of machine learning and artificial intelligence. The topics present techniques in the field of recommendation systems, image processing, control and interconnection of physical laws with the field of machine learning. The aim of the exercise is to familiarize students with the methods discussed.

Lectures

Week	Date	Lecturer	Topic & Materials
1	20.2.2025+L	Miroslav Čepek	Lecture: Introduction & Repeatable ML Projects - MLOps Supplement - Weight & Biases Tutorial No tutorial
2	27.2.2025	Rodrigo Da Silva Alves	Lecture: Recommender Systems (1)
3	6.3.2025+L	Rodrigo Da Silva Alves	Lecture: Recommender Systems (2) Tutorial: Recommender Systems Homework due: March 20, 2025 - Please send a Jupyter notebook with your solution to Rodrigo’s email. The subject of the email must be '[NI-AML25] Your KOS username'
4	13.3.2025	Vojtěch Rybář	Lecture: Interpretable and Explainable Machine Learning Models
5	20.3.2025+L	Vojtěch Rybář	Lecture: Causality Tutorial & Homework: Causality Homework due: April 7, 2025 - Please send a Jupyter notebook with your solution to Vojtech’s email. The subject of the email should be '[NI-AML25] Your KOS username'
6	27.3.2025	Petr Šimánek	Lecture: Physics Informed ML
7	3.4.2025+L	Alexander Kovalenko	Lecture: Nature Inspired Deep Learning Tutorial: Tutorial 4 MAterials
8	10.4.2025	Petr Šimánek	Lecture: Meta and Continual Learning
9	17.4.2025+L	Zdeněk Buk	Lecture: ML in modeling and control Tutorial & Homework: ML in modeling and control
10	24.4.2025	Alexander Kovalenko	Lecture: Advanced Image Processing
11	29.4.	Petr Šimánek	Lecture: Optimisation in Deep Learning
	1.5.2025+L	EXCEPTION	No lecture - Public holiday
	8.5.2025	EXCEPTION	No lecture - Public holiday
12	15.5.2025+L	Miroslav Čepek	Lecture: Large Language Models Tutorial: Large Language Models

Week

Date

Lecturer

Topic & Materials

20.2.2025+L

Miroslav Čepek

Lecture: Introduction & Repeatable ML Projects - MLOps Supplement - Weight & Biases Tutorial
No tutorial

27.2.2025

Rodrigo Da Silva Alves

Lecture: Recommender Systems (1)

6.3.2025+L

Rodrigo Da Silva Alves

Lecture: Recommender Systems (2)
Tutorial: Recommender Systems
Homework due: March 20, 2025 - Please send a Jupyter notebook with your solution to Rodrigo’s email. The subject of the email must be '[NI-AML25] Your KOS username'

13.3.2025

Vojtěch Rybář

Lecture: Interpretable and Explainable Machine Learning Models

20.3.2025+L

Vojtěch Rybář

Lecture: Causality
Tutorial & Homework: Causality
Homework due: April 7, 2025 - Please send a Jupyter notebook with your solution to Vojtech’s email. The subject of the email should be '[NI-AML25] Your KOS username'

27.3.2025

Petr Šimánek