Machine learning for physicists

PHYS-467

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PHYS-467 Machine learning for physicists

2024 lectrue 14 PHYS-467 Machine learning for physicists | Friday | Fall 24

20.12.2024, 10:37

PHYS-467 Machine learning for physicists | Friday | Fall 24

20.12.2024, 10:38

2024 Lecture 13 PHYS-467 Machine learning for physicists | Friday | Fall 24

13.12.2024, 10:06

PHYS-467 Machine learning for physicists | Friday | Fall 24

13.12.2024, 10:42

2024 Lecture 12 (2/2) PHYS-467 Machine Learning for Physicists | Friday | Fall 2024

06.12.2024, 16:34

2024 lecture 12 PHYS-467 Machine learning for physicists | Friday | Fall 24

06.12.2024, 10:07

PHYS-467 Machine learning for physicists | Friday | Fall 24

06.12.2024, 10:43

2024 Lecture 11 PHYS-467 Machine learning for physicists | Friday | Fall 24

29.11.2024, 10:06

The 2nd hour has, unfortunately, no sound. Please go to lecture 11 of 2023.

PHYS-467 Machine learning for physicists | Friday | Fall 24

29.11.2024, 10:42

2024 Lecture 10 PHYS-467 Machine learning for physicists | Friday | Fall 24

22.11.2024, 10:41

PHYS-467 Machine learning for physicists | Friday | Fall 24

22.11.2024, 10:43

2024: Lecture 9 PHYS-467 Machine learning for physicists | Friday | Fall 24

15.11.2024, 10:06

PHYS-467 Machine learning for physicists | Friday | Fall 24

15.11.2024, 10:41

2024: Lecture 8 Machine Learning for Physicists

01.11.2024, 13:31

2024: Lecture 7 Machine Learning for Physicists

01.11.2024, 10:06

PHYS-467 Machine learning for physicists | Friday | Fall 24

01.11.2024, 10:42

2024: Lecture 6 PHYS-467 Machine learning for physicists | Friday | Fall 24

18.10.2024, 10:06

PHYS-467 Machine learning for physicists | Friday | Fall 24

18.10.2024, 10:42

2024: Lecture 5 PHYS-467 Machine learning for physicists | Friday | Fall 24

11.10.2024, 10:06

PHYS-467 Machine learning for physicists | Friday | Fall 24

11.10.2024, 10:42

2024 Lecture 4, PHYS-467 Machine learning for physicists | Friday | Fall 24

04.10.2024, 10:43

PHYS-467 Machine learning for physicists | Friday | Fall 24

04.10.2024, 10:44

2024 Lecture 3 PHYS-467

27.09.2024, 10:40

PHYS-467 Machine learning for physicists | Friday | Fall 24

27.09.2024, 10:42

2024 Lecture 1, PHYS-467 Machine learning for physicists | Friday | Fall 24

20.09.2024, 10:05

PHYS-467 Machine learning for physicists | Friday | Fall 24

20.09.2024, 10:43

2024 Lecture 2 PHYS-467 Machine learning for physicists | Friday | Fall 24

13.09.2024, 10:37

PHYS-467 Machine learning for physicists | Friday | Fall 24

13.09.2024, 10:40

2023 | Lecture 14 part 2

22.12.2023, 11:02

2023 | Lecture 14 part 1

22.12.2023, 11:01

2023 | Lecture 13 Part 2

15.12.2023, 10:13

Self-attention, transformers

2023 | Lecture 13 Part 1

15.12.2023, 09:02

Autoencoder, boltzmann machine

2023 | Lecture 12 part 2

08.12.2023, 10:07

autoencoder

2023 | Lecture 12 Part 1

08.12.2023, 09:03

double descent, implicit regularization

2023 | Lecture 11 Part 2

01.12.2023, 10:11

Neural networks cont.

2023 | Lecture 11 Part 1

01.12.2023, 09:15

Multilayer neural networks

2023 | Lecture 10 Part 2

24.11.2023, 09:58

23/11/2023 : Neural networks

2023 | Lecture 10 Part 1

24.11.2023, 09:00

23/11/2023 : Kernel methods, random features

2023 | Lecture 8 part 2

10.11.2023, 10:01

Expectation maximization, clustering

2023 | Lecture 8 part 1

10.11.2023, 09:03

Spin glass card game : simulated annealing, Gibbs sampling

2023 | Lecture 7 part 2

03.11.2023, 10:08

2023 | Lecture 7 part 1

03.11.2023, 09:21

Bayesian estimation for unsupervised learning and MCMC

2023 | Lecture 5

16.10.2023, 10:38

Unfortunately the second half of this lecture is missing for technical reasons. Please refer to the Lecture 5 recording of 2022 if needed ("10, Lecture 5.2: Multiclass classification")

2023 | Lecture 4 part 2

13.10.2023, 19:47

2023 | Lecture 4 part 1

13.10.2023, 19:42

The beginning of the recording is missing due to a technical issue. Please refer to the lecture 4 recording of Fall 2022 ("7, Lecture 4.1: LASSO Regression, GD")

2023 | Lecture 3

06.10.2023, 13:56

Lecture 2 (2/2)

29.09.2023, 15:31

Part 2 of lecture 2 (29/09/2023)

Lecture 2 (1/2)

29.09.2023, 15:30

Part 1 of lecture 2 (29/09/2023)

2023 | Lecture 1 part1

22.09.2023, 10:22

Part one of the first lecture. The second half of the first lecture was unfortunately not recorded, please look at the Lecture 1 pt2 recording from last year ("2, Lecture 1.2: Linear Regression")

28 Lecture 14.2: Diffusion Models

23.12.2022, 10:08

27 Lecture 14.1: Deep learning modus operandi

23.12.2022, 09:11

Lecture 13 - part 2

22.12.2022, 14:50

Lecture 13 - part 1

22.12.2022, 14:02

26 Lecture 13.2

16.12.2022, 10:15

25 Lecture 13.1 - Convolutional neural networks

16.12.2022, 10:14

Lecture 12 - part 2

15.12.2022, 15:02

Lecture 12 - part 1

15.12.2022, 14:04

24 Lecture 12.2: Backpropagation and neural networks

09.12.2022, 10:07

23 Lecture 12.1: Introduction to neural networks

09.12.2022, 09:03

lecture 11 - part 2

08.12.2022, 15:03

Lecture 11 - part 1

08.12.2022, 14:03

22, Lecture 11.2: Neural Networks

02.12.2022, 10:30

21, Lecture 11.1: Random Features and Neural Net terminology

02.12.2022, 09:21

Lecture 10 - part 2

01.12.2022, 15:14

Lecture 10 - part 1

01.12.2022, 14:07

20, Lecture 10.2: Kernels

28.11.2022, 12:12

19, Lecture 10.1: Kernels

28.11.2022, 12:11

Lecture 9 - part 2

24.11.2022, 15:11

Lecture 9 - part 1

24.11.2022, 14:05

18, Lecture 9.2: Boltzmann Machine

18.11.2022, 10:35

17, Lecture 9.1: k-means

18.11.2022, 09:26

Lecture 8 - part 2

17.11.2022, 15:14

Lecture 8 - part 1

17.11.2022, 14:07

16, Lecture 8.2: Monte Carlo Markov Chains

11.11.2022, 12:53

15, Lecture 8.1: Monte Carlo Markov Chains

11.11.2022, 12:51

Lecture 7 - part 2

10.11.2022, 15:13

Lecture 7 - part 1

10.11.2022, 15:09

14, Lecture 7.2: Monte Carlo

04.11.2022, 11:21

13, Lecture 7.1: Monte Carlo

04.11.2022, 11:07

Lecture 6 - part 2

03.11.2022, 15:03

12, Lecture 6.2: Principale Components Analysis

21.10.2022, 11:56

11, Lecture 6.1: Singular Value Decomposition

21.10.2022, 11:03

10, Lecture 5.2: Multiclass classification

21.10.2022, 10:18

9, Lecture 5.1: Logistic regression

21.10.2022, 10:14

8, Lecture 4.2: Linear Classification

14.10.2022, 16:16

7, Lecture 4.1: LASSO Regression, GD

14.10.2022, 16:15

6, Lecture 3.2: Linear regression through the lenses of statistical inference (contd.)

10.10.2022, 10:16

5, Lecture 3.1: Linear regression through the lenses of statistical inference

07.10.2022, 14:29

4, Lecture 2.2: Linear Regression (cont.)

30.09.2022, 11:28

3, Lecture 2.1: Linear Regression

30.09.2022, 11:26

2, Lecture 1.2: Linear Regression

26.09.2022, 11:15

1, Lecture 1.1: Introduction

26.09.2022, 11:11

Media

PHYS-467 Machine learning for physicists

2024 lectrue 14 PHYS-467 Machine learning for physicists | Friday | Fall 24

20.12.2024, 10:37

PHYS-467 Machine learning for physicists | Friday | Fall 24

20.12.2024, 10:38

2024 Lecture 13 PHYS-467 Machine learning for physicists | Friday | Fall 24

13.12.2024, 10:06

PHYS-467 Machine learning for physicists | Friday | Fall 24

13.12.2024, 10:42

2024 Lecture 12 (2/2) PHYS-467 Machine Learning for Physicists | Friday | Fall 2024

06.12.2024, 16:34

2024 lecture 12 PHYS-467 Machine learning for physicists | Friday | Fall 24

06.12.2024, 10:07

PHYS-467 Machine learning for physicists | Friday | Fall 24

06.12.2024, 10:43

2024 Lecture 11 PHYS-467 Machine learning for physicists | Friday | Fall 24

29.11.2024, 10:06

The 2nd hour has, unfortunately, no sound. Please go to lecture 11 of 2023.

PHYS-467 Machine learning for physicists | Friday | Fall 24

29.11.2024, 10:42

2024 Lecture 10 PHYS-467 Machine learning for physicists | Friday | Fall 24

22.11.2024, 10:41

PHYS-467 Machine learning for physicists | Friday | Fall 24

22.11.2024, 10:43

2024: Lecture 9 PHYS-467 Machine learning for physicists | Friday | Fall 24

15.11.2024, 10:06

PHYS-467 Machine learning for physicists | Friday | Fall 24

15.11.2024, 10:41

2024: Lecture 8 Machine Learning for Physicists

01.11.2024, 13:31

2024: Lecture 7 Machine Learning for Physicists

01.11.2024, 10:06

PHYS-467 Machine learning for physicists | Friday | Fall 24

01.11.2024, 10:42

2024: Lecture 6 PHYS-467 Machine learning for physicists | Friday | Fall 24

18.10.2024, 10:06

PHYS-467 Machine learning for physicists | Friday | Fall 24

18.10.2024, 10:42

2024: Lecture 5 PHYS-467 Machine learning for physicists | Friday | Fall 24

11.10.2024, 10:06

PHYS-467 Machine learning for physicists | Friday | Fall 24

11.10.2024, 10:42

2024 Lecture 4, PHYS-467 Machine learning for physicists | Friday | Fall 24

04.10.2024, 10:43

PHYS-467 Machine learning for physicists | Friday | Fall 24

04.10.2024, 10:44

2024 Lecture 3 PHYS-467

27.09.2024, 10:40

PHYS-467 Machine learning for physicists | Friday | Fall 24

27.09.2024, 10:42

2024 Lecture 1, PHYS-467 Machine learning for physicists | Friday | Fall 24

20.09.2024, 10:05

PHYS-467 Machine learning for physicists | Friday | Fall 24

20.09.2024, 10:43

2024 Lecture 2 PHYS-467 Machine learning for physicists | Friday | Fall 24

13.09.2024, 10:37

PHYS-467 Machine learning for physicists | Friday | Fall 24

13.09.2024, 10:40

2023 | Lecture 14 part 2

22.12.2023, 11:02

2023 | Lecture 14 part 1

22.12.2023, 11:01

2023 | Lecture 13 Part 2

15.12.2023, 10:13

Self-attention, transformers

2023 | Lecture 13 Part 1

15.12.2023, 09:02

Autoencoder, boltzmann machine

2023 | Lecture 12 part 2

08.12.2023, 10:07

autoencoder

2023 | Lecture 12 Part 1

08.12.2023, 09:03

double descent, implicit regularization

2023 | Lecture 11 Part 2

01.12.2023, 10:11

Neural networks cont.

2023 | Lecture 11 Part 1

01.12.2023, 09:15

Multilayer neural networks

2023 | Lecture 10 Part 2

24.11.2023, 09:58

23/11/2023 : Neural networks

2023 | Lecture 10 Part 1

24.11.2023, 09:00

23/11/2023 : Kernel methods, random features

2023 | Lecture 8 part 2

10.11.2023, 10:01

Expectation maximization, clustering

2023 | Lecture 8 part 1

10.11.2023, 09:03

Spin glass card game : simulated annealing, Gibbs sampling

2023 | Lecture 7 part 2

03.11.2023, 10:08

2023 | Lecture 7 part 1

03.11.2023, 09:21

Bayesian estimation for unsupervised learning and MCMC

2023 | Lecture 5

16.10.2023, 10:38

Unfortunately the second half of this lecture is missing for technical reasons. Please refer to the Lecture 5 recording of 2022 if needed ("10, Lecture 5.2: Multiclass classification")

2023 | Lecture 4 part 2

13.10.2023, 19:47

2023 | Lecture 4 part 1

13.10.2023, 19:42

The beginning of the recording is missing due to a technical issue. Please refer to the lecture 4 recording of Fall 2022 ("7, Lecture 4.1: LASSO Regression, GD")

2023 | Lecture 3

06.10.2023, 13:56

Lecture 2 (2/2)

29.09.2023, 15:31

Part 2 of lecture 2 (29/09/2023)

Lecture 2 (1/2)

29.09.2023, 15:30

Part 1 of lecture 2 (29/09/2023)

2023 | Lecture 1 part1

22.09.2023, 10:22

Part one of the first lecture. The second half of the first lecture was unfortunately not recorded, please look at the Lecture 1 pt2 recording from last year ("2, Lecture 1.2: Linear Regression")

28 Lecture 14.2: Diffusion Models

23.12.2022, 10:08

27 Lecture 14.1: Deep learning modus operandi

23.12.2022, 09:11

Lecture 13 - part 2

22.12.2022, 14:50

Lecture 13 - part 1

22.12.2022, 14:02

26 Lecture 13.2

16.12.2022, 10:15

25 Lecture 13.1 - Convolutional neural networks

16.12.2022, 10:14

Lecture 12 - part 2

15.12.2022, 15:02

Lecture 12 - part 1

15.12.2022, 14:04

24 Lecture 12.2: Backpropagation and neural networks

09.12.2022, 10:07

23 Lecture 12.1: Introduction to neural networks

09.12.2022, 09:03

lecture 11 - part 2

08.12.2022, 15:03

Lecture 11 - part 1

08.12.2022, 14:03

22, Lecture 11.2: Neural Networks

02.12.2022, 10:30

21, Lecture 11.1: Random Features and Neural Net terminology

02.12.2022, 09:21

Lecture 10 - part 2

01.12.2022, 15:14

Lecture 10 - part 1

01.12.2022, 14:07

20, Lecture 10.2: Kernels

28.11.2022, 12:12

19, Lecture 10.1: Kernels

28.11.2022, 12:11

Lecture 9 - part 2

24.11.2022, 15:11

Lecture 9 - part 1

24.11.2022, 14:05

18, Lecture 9.2: Boltzmann Machine

18.11.2022, 10:35

17, Lecture 9.1: k-means

18.11.2022, 09:26

Lecture 8 - part 2

17.11.2022, 15:14

Lecture 8 - part 1

17.11.2022, 14:07

16, Lecture 8.2: Monte Carlo Markov Chains

11.11.2022, 12:53

15, Lecture 8.1: Monte Carlo Markov Chains

11.11.2022, 12:51

Lecture 7 - part 2

10.11.2022, 15:13

Lecture 7 - part 1

10.11.2022, 15:09

14, Lecture 7.2: Monte Carlo

04.11.2022, 11:21

13, Lecture 7.1: Monte Carlo

04.11.2022, 11:07

Lecture 6 - part 2

03.11.2022, 15:03

12, Lecture 6.2: Principale Components Analysis

21.10.2022, 11:56

11, Lecture 6.1: Singular Value Decomposition

21.10.2022, 11:03

10, Lecture 5.2: Multiclass classification

21.10.2022, 10:18

9, Lecture 5.1: Logistic regression

21.10.2022, 10:14

8, Lecture 4.2: Linear Classification

14.10.2022, 16:16

7, Lecture 4.1: LASSO Regression, GD

14.10.2022, 16:15

6, Lecture 3.2: Linear regression through the lenses of statistical inference (contd.)

10.10.2022, 10:16

5, Lecture 3.1: Linear regression through the lenses of statistical inference

07.10.2022, 14:29

4, Lecture 2.2: Linear Regression (cont.)

30.09.2022, 11:28

3, Lecture 2.1: Linear Regression

30.09.2022, 11:26

2, Lecture 1.2: Linear Regression

26.09.2022, 11:15

1, Lecture 1.1: Introduction

26.09.2022, 11:11

This file is part of the content downloaded from Machine learning for physicists.

Link to lecture recordings: https://mediaspace.epfl.ch/channel/PHYS-467+Machine+learning+for+physicists/30395 (including lectures from 2022)

Books for additional references, yet we do not follow any of them closely:

2024 | Exercise 3 - Inference (Folder)

2024 | Exercise 5 : (S)GD, Lasso, Classification (Folder)

2024 | Exercise 6: PCA (Folder)

Fall break week.

2024 | Exercise 9: Kernels (Folder)

2024 | Exercise 11: SUSY data and CNNs (Folder)

16 december - 22 december

2024 | Exercise 13: Transformers (Folder)