Automated Machine Learning

Winter Semester 2024/25 @kozaka93 @woznicak

Materials for courses conducted at the Faculty of Mathematics and Information Sciences, Warsaw University of Technology.

Schedule

Week	Lecture		Labs
1	3/10	Intro do przedmiotu + GS, RS	2/10	Przypomnienie ML
2	10/10	Tunability - Bayes	9/10	Pipelines w ML (GS, RS)
3	17/10	Artykuł tunabilty I	16/10	HPO Bayes I
4	24/10	Artykuł tunabilty II + Ensemble I	23/10	HPO Bayes II
5	31/10	AutoGluon	30/10	Pipelines w ML 2 (stacking)
6	7/11	Meta-learning	6/11	AutoGluon
7	21/11	Learning Curves	13/11	AutoGluon
8	28/11	forester	20/11	Prezentacje projektu
9	5/12	MLJAR	27/11	Learning Curves + Intro Projekt 2
10	12/12	Auto-sklearn	04/12	MLJAR
11	19/12	TabPFN	11/12	MLJAR
12	02/01	Survey about Trust in AutoML	18/12	AMLTK
13	09/01	TBA	15/01
14	16/01		22/01
15	23/01		29/01

General rules and course assessment

You can obtain up to 90 points during the term, which will be assigned according to the following list:

• Homeworks (2 x 40 points)
• Presentation (10 points)

The grades will be given according to the table:

Grade	3	3.5	4	4.5	5
Points	(45, 54]	(54, 63]	(63, 72]	(72, 81]	(81, ∞)