Lectures on data science: Introduction and Fundamentals of Machine Learning

Contribution List

1. Lecture: Introduction and Fundamentals of Machine Learning

Prof. Stefan Sandfeld (FZJ, IAS-9)

21/03/2024, 09:00

2. Lecture: Linear regression

Prof. Stefan Sandfeld (FZJ, IAS-9)

21/03/2024, 09:30

3. Tutorial: Linear regression

Tarek Iraki (FZJ, IAS-9)

21/03/2024, 10:45

4. Tutorial: Linear regression (cont’d)

Tarek Iraki (FZJ, IAS-9)

21/03/2024, 13:00

5. Lecture: Principal Component Analysis (PCA)

Prof. Stefan Sandfeld (FZJ, IAS-9)

21/03/2024, 14:15

6. Tutorial: Principal Component Analysis (PCA)

Aytekin Demirci (Forschungszentrum Jülich)

21/03/2024, 15:45

7. Lecture: Perceptrons, Perceptron Learning, Multi Perceptron Learning

Prof. Stefan Sandfeld (FZJ, IAS-9)

22/03/2024, 09:00

8. Tutorial: Perceptrons, Perceptron Learning, Multi Perceptron Learning

Aytekin Demirci (Forschungszentrum Jülich)

22/03/2024, 10:30

9. Lecture: Fully Connected Networks

Prof. Stefan Sandfeld (FZJ, IAS-9)

22/03/2024, 13:00

10. Tutorial: Fully connected networks

Dr Bashir Kazimi (FZJ, IAS-9)

22/03/2024, 14:15

11. Tutorial: Fully connected networks (cont'd)

Dr Bashir Kazimi (FZJ, IAS-9)

22/03/2024, 15:45

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