parker7123/2023z-automl

Automated Machine Learning course in Winter 2023/24

Automated Machine Learning

Winter Semester 2023/24 @kozaka93 @woznicak

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

Notes

Links to interesting papers, books, recordings and more ➡️ here

Schedule

#	Month-Day	Lecture	Lab	Points
1	10-04	Course introduction	ML
	10-06
2	10-11	Intro to AutoML	Pipelines
	10-13
3	10-18	Frameworks, part I	Pipelines, stacking, AutoGluon
	10-20
4	10-25	Tunability I	AutoGluon, hyperparameter optimization
	10-27
5	11-08	Tunability II	Work on HW1
	11-03
6	11-15	Frameworks, part II	Work on HW1
	11-17
7	11-22	Presentation of HW1	Auto-Sklearn	P* (10p)
	11-24
8	11-29	Presentation of HW1		HW1 (40p)
	12-01
9	12-06	MLJAR	MLJAR
	12-08
10	12-13	Meta-learning	Work on HW2
	12-15
11	12-20	Benchmarks
	12-22
12	01-03	TabPFN	TabPFN
	01-05
13	01-10	Ensembles	Work on HW2
	01-12
14	01-17	Presentation of HW2		P* (10p)
	01-19
15	01-24	Presentation of HW2		HW2 (40p)
	01-26

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, ∞)