Machine Learning Course SS 16 U Stuttgart
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The tutorials on Monday 4th are skipped. The first lecture is is April 7th, V38.02, 11:30.
- Tutorial rooms
Mo 09:45-11:15 0.124
Mo 11:30-13:00 0.124
Mo 14:00-15:30 0.124
Mo 15:45-17:15 0.108
- Example Exam
- Here is an example exam: beispielKlausur . Some notes: This was last year's exam, but I removed one question. Generally, an exam will have a number of simple/basic questions, which simply check if you've learnt certain facts/concepts. But also a few questions where you really have to derive/compute something. Topic-wise, the questions are similar to the exercise questions (but hopefully have more well-defined answers...).
- Schedule, slides & exercises
date topics slides exercises
(due on following Monday)
7.4. Introduction 01-introduction e01-intro 14.4. Regression 02-regression e02-linearRegression
21.4. Classification & Structured Output 03-classification e03-classification 28.4. e04-classification
5.5. holiday e05-structuredOutput
12.5. Kernelization & Structured Input 04-kernelization
e06-kernels (due on May 23rd) 2.6. Neural Networks e07-NN (due on June 6th)
9.6. Clustering e08-PCA 16.6. Boosting e09-clustering
23.6. Bayesian ML 06-BayesianRegressionClassification e10-boosting-bayes 30.6. COLLECTED SLIDES 16-MachineLearning Open questions & Präzenzübung: e11-gaussianProcesses
Slides of the previous year: