Machine Learning II (SS 2016)

Supervised, unsupervised and semi-supervised learning, Bayesian learning, Energy minimization and optimization.

Your lecturers are Prof. Dr. Nils Bertschinger, Prof. Dr. Matthias Kaschube and Prof. Dr. Visvanathan Ramesh.

Course Material:

Prof. Kaschube – Slides Week 1

Exercise 1

Prof. Kaschube – Slides Week 2

Exercise_2

Prof. Kaschube – Slides Week 3

Exercise_3

Prof. Kaschube – Slides week 4

Exercise_4

Prof. Kaschube – Slides week 5

Exercise_5 , ML_Intro.ipynb , wine.data ( install jupyter to open notebook ( jupyter notebook ML_Intro.ipynb ) )

Prof. Ramesh – Slides week 6

exercise_6 , FreqBayes5

Prof. Ramesh – Slides week 7

exercise_7 , BasicImageOperations.ipynb

Exercise_8

Exercise 9

Exercises MLII (Prof. Bertschinger), Sampling