Machine Learning 2 - 097209
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Lecture |
Exercise |
Laboratory |
Project or Seminar |
House Work |
Weekly Hours |
3 |
1 |
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3 |
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Possibility to guided reading
Determination of the grade according to progress during the semester and a final examination.
Prerequisites
| | | | Machine Learning 1 |
096411
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Multiplicative Weights Method, Classification, the Perceptron Algorithm, Online Convex Optimization and Regret Minimization in Games.
Times and places of examinations
01/2022
2202/2023 Winter Semester
examination time | day | date | Season |
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| Monday | 30.01.2023 | à |
| Sunday | 05.03.2023 | á |
Timetable to semester 01/2022
2202/2023 Winter Semester
Room | Building | Hour | day | Lecturer | Exercise Lecture | no. | Registering Group |
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| | 08:30-09:30 | Tuesday | Associate Prof. Hazan Tamir | Lecture | 10 | 11 |
| | 10:30-12:30 | Wednesday |
| | 09:30-10:30 | Tuesday | | Exercise | 11 |
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| | 08:30-09:30 | Tuesday | Associate Prof. Hazan Tamir | Lecture | 10 | 12 |
| | 10:30-12:30 | Wednesday |
| | 08:30-09:30 | Thursday | | Exercise | 12 |
TextbooksCompulsory Book | Published | Publisher | Authors | Book |
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Compulsory | 1994 | mit | m. kearns and u. vazirani | an introduction to computational learning theory |
Compulsory | 2006 | cambridge university press | n. cesa bianchi and g. lugosi | prediction, learning and games |
Created in 13/08/2022 Time 09:33:22