Machine learning and data science
Summary: In recent years, the availability of large sets of data has led to the development of computational methods for their manipulation and interpretation. In this lecture, we will introduce fundamental concepts from data science and machine learning, such as dimensionality reduction, neural networks and deep learning.
Password for PDF files is the last name of the lecturer.
Lecture1
Lecture2
Lecture3
Lecture4
Lecture5
Lecture6
Lecture7
Lecture8
Lecture9
Lecture10
Lecture11
Lecture12
Downloads
- 03_source_code
- 02.1_data_wrangling (18 MByte)
- 02.2_data_visualisation (6 MByte)
- 03_density_estimation (8 MByte)
- 01_Introduction (16 MByte)
- 04_clustering (11 MByte)
- 05_dimensionality_reduction (6 MByte)
- 06__bayes_classification (9 MByte)
- 07_classification_2 (10 MByte)
- 08_regression (10 MByte)
- 09_neural_networks (12 MByte)
- 10_jamming_and_overfitting (14 MByte)
- 11_architectures (19 MByte)
- 12_reinforcement_learning (4 MByte)