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Machine Learning (IN2064)

Course 0000003713 in WS 2015/6

General Data

Course Type lecture
Semester Weekly Hours 6 SWS
Organisational Unit Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems (Prof. Knoll)
Lecturers
Dates Wed, 16:00–18:00, Interims I 102
Tue, 10:00–13:00, MW 0001
Wed, 10:00–12:00, MI 03.13.010
and 1 singular or moved dates

Assignment to Modules

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks algebra; trees, k-Nearest Neighbour; probability theory; Maximum-Likelihood Estimation (MLE); multivariate Gaussian; linear regression, Gaussian Processes (GP); linear classification; kernels; convex optimisation; Support Vector Machines (SVM); Expectation Maximisation (EM); latent variables; neural networks; optimisation
Links TUMonline entry
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