Data mining and machine learning course for physics MSc students Lecture slides: 00 Requirements 01 Unsupervised learning and clustering 02 Overview of supervised learning 03 Linear regression 04 Linear methods for classification 05 Model selection and regularization 06 SVM 07 Decision trees 08 Neural networks 09 Convolutional neural networks 10 Neural networks II. 11 Generative adversarial networks 12 Natural language processing,nb1,nb2 Lab assignments 01 Unsupervised learning and clustering 02 Overview of supervised learning 03 Linear regression 04 Linear methods in classification 05 Model selection and regularization 06 SVM 07 Decision trees 08 Neural networks 09 Convolutional neural networks 10 Neural networks II. 11 Generative adversarial networks Formal requirements for assigments. Solution for this year (quick and dirty, do not expect explanations) 01 Unsupervised learning and clustering 02 Overview of supervised learning 03 Linear Regression 04 Linear methods in classification Worked out example notebooks, old assignment solutions 01 Unsupervised learning and clustering 02 Overview of supervised learning 03 Linear Regression