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.
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Prerequisites:
| | | | Machine Learning 1 |
096411
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Multiplicative Weights Method, Classification, the Perceptron Algorithm, Online Convex Optimization and Regret Minimization in Games.
Timetable to semester 02/2020
2020/2021 Spring Semester
| Room | Building | Hour | day | Lecturer | Exercise
Lecture | no. | Registering
Group |
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| | | 14:30-17:30 | Wednesday | Doctor Shalit Uri | Lecture | 10 | 11 |
| | | 17:30-18:30 | Wednesday | Ms. Badler Chen | Exercise | 11 |
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| | | 14:30-17:30 | Wednesday | Doctor Shalit Uri | Lecture | 10 | 12 |
| | | 15:30-16:30 | Monday | | 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 06/03/2021 Time 00:57:36
