Course slides are available on Moodle.
Date  Topics  Reading 

01/08/2019 
Overview of the course

Lecture slides
Chapter 1 of SS17 
01/08/2019 
Classification

Slides 
07/08/2019 
Probability for ML (basics)

sections 3.1 to 3.9 here
or, chapters 16 from PRS, or Chapter 1 and 2 of Bis07) 
09/08/2019 
Probabilistic Generative classifiers

Chapter 2.5 of DDL2019 
14/08/2019, 16/08/2019 
Decision tree classification,

slides
Chapter 3 of Mitchell97 
21/08/2019 
Conditional Linear classifiers and Regressors

Chapter 3.1, 3.2 of DDL2019
Chapters 4.2, 4.3.2 of Bis07 Mitchell's chapter 
23/08/2019
30/08/2019 
Numerical Optimization (Review),

Chapter 4.3 of Deep Learning book
Chapters 9.1 to 9.3 of BV excluding convergence proofs 
28/8/2019 
Quiz 1 Up to and including decision trees. 

04/9/2019  13/9/2019 
Support vector machines

Chapter 7 of Bis07
Wikipedia 
25/09/2019, 27/09/2019 
Feedforward Neural networks ,

Chapter 6 of Deep Learning book 
04/10/2019, 09/10/2019 
Convolutional Neural Networks

Chapter 6 and 12 of DDL book 
11/9/2019, 16/9/2019 
Recurrent Neural Networks

Chapter 10.0 to 10.4 of Deep Learning book 
18/10/2019, 19/10/2019, 23/10/2019 
Clustering

Lecture notes 
23/10/2019 
Combining models

Chapter 14.2 of Bis07, Chapter 8.7 of HTF book 
25/10/2019  Dimensionality Reduction

Chapter 12 from Bis07 Eigen faces demo 
30/10/2019  Tutorial  
01/11/2019, 08/11/2019  Overview of graphical models  
06/11/2019  Quiz 