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Schedule and course plan
Period 2
Where and when | Activity | Reading | Examination |
Tue 4 Nov 08:15-10:00 Q31 |
Lecture 1: Introduction Hedvig Kjellström |
Murphy Chapter 1 | |
Wed 5 Nov 13:15-15:00 V32 |
Lecture 2: Graphical Models Jens Lagergren |
Murphy Chapter 10 (except 10.2.4, 10.2.5, 10.4) | |
Thu 6 Nov 13:15-15:00 Q36 |
Lecture 3: Mixture Models and the EM Algorithm Jens Lagergren |
Murphy Chapter 11 (11.1, 11.2.1-11.2.3, 11.4-11.4.2.5, 11.4.2.8, 11.4.4, 11.4.7), 2.8.1, 2.8.2 | |
Tue 11 Nov 13:15-15:00 E3 |
Exercise 1: Lectures 2 and 3 Jens Lagergren |
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Wed 12 Nov 13:15-15:00 Q33 |
Lecture 4: Markov Models and Hidden Markov Models Jens Lagergren |
Murphy Chapter 17 (17.3-17.5, 17.6.6) | |
Thu 13 Nov 13:15-15:00 E2 |
Lecture 5: Undirected Graphical Models Jens Lagergren |
Murphy Chapter 19 (19.1-19.3, 19.4.1, 19.4.3) | |
Tue 18 Nov 15:15-17:00 Q33 |
Exercise 2: Lectures 4 and 5 Jens Lagergren |
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Tue 25 Nov |
Assignment 1 | ||
Wed 19 Nov 13:15-15:00 Q36 |
Lecture 6: Kernel Methods Carl Henrik Ek |
Murphy Chapter 14, 12, own material | |
Tue 25 Nov 08:15-10:00 E2 |
Lecture 7: Gaussian Process Regression Carl Henrik Ek |
Murphy Chapter 1, 7, 15, own material | |
Thu 27 Nov 13:15-15:00 E2 |
Lecture 8: Neural Networks Carl Henrik Ek |
Murphy Chapter 16.5, 27, 28, papers | |
Mon 1 Dec 10:15-12:00 Q34 |
Lecture 9: Learning Representations Carl Henrik Ek |
Murphy Chapter 1, 16, 28, papers | |
Wed 3 Dec 08:15-10:00 Q31 |
Exercise 3: Lectures 6 and 7 Carl Henrik Ek |
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Mon 8 Dec EARLIER! 10:15-12:00 V22 |
Exercise 4: Lectures 8 and 9 Carl Henrik Ek |
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Wed 3 Dec | Assignment 2 | ||
Wed 10 Dec 15:15-17:00 Q31 |
Lecture 10: Topic Models Hedvig Kjellström |
Murphy Chapter 10.4, 27, papers | |
Mon 15 Dec 10:15-12:00 Q31 |
Lecture 11: Practical Machine Learning Hedvig Kjellström |
papers | |
Tue 16 Dec 08:15-10:00 Q31 |
Exercise 5: Lectures 10 and 11 Hedvig Kjellström |
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Mon 15 Dec | Assignment 3 | ||
Wed 17 Dec 15:15-17:00 Q31 |
Lecture 12: Method and Model Selection Hedvig Kjellström |
Murphy Chapter 1 revisited, papers | |
Thu 18 Dec | Project |