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

iCalendar

	Date and Time	Room and Remark
	Wed, 2015-10-14, 16:00–18:00	Boltzmannstr. 5
	Tue, 2015-10-20, 10:00–13:00	Boltzmannstr. 15
	Wed, 2015-10-21, 10:00–12:00	Boltzmannstr. 3
	Wed, 2015-10-21, 16:00–18:00	Boltzmannstr. 5
	Tue, 2015-10-27, 10:00–13:00	Boltzmannstr. 15
	Wed, 2015-10-28, 10:00–12:00	Boltzmannstr. 3
	Wed, 2015-10-28, 16:00–18:00	Boltzmannstr. 5
	Tue, 2015-11-03, 10:00–13:00	Boltzmannstr. 15
	Wed, 2015-11-04, 10:00–12:00	Boltzmannstr. 3
	Wed, 2015-11-04, 16:00–18:00	Boltzmannstr. 5
!	Tue, 2015-11-10, 12:15–13:00	Boltzmannstr. 15
	Wed, 2015-11-11, 10:00–12:00	Boltzmannstr. 3
	Wed, 2015-11-11, 16:00–18:00	Boltzmannstr. 5
	Tue, 2015-11-17, 10:00–13:00	Boltzmannstr. 15
	Wed, 2015-11-18, 10:00–12:00	Boltzmannstr. 3
	Wed, 2015-11-18, 16:00–18:00	Boltzmannstr. 5
	Tue, 2015-11-24, 10:00–13:00	Boltzmannstr. 15
	Wed, 2015-11-25, 10:00–12:00	Boltzmannstr. 3
	Wed, 2015-11-25, 16:00–18:00	Boltzmannstr. 5
	Tue, 2015-12-01, 10:00–13:00	Boltzmannstr. 15
	Wed, 2015-12-02, 10:00–12:00	Boltzmannstr. 3
	Wed, 2015-12-02, 16:00–18:00	Boltzmannstr. 5
	Tue, 2015-12-08, 10:00–13:00	Boltzmannstr. 15
	Wed, 2015-12-09, 10:00–12:00	Boltzmannstr. 3
	Wed, 2015-12-09, 16:00–18:00	Boltzmannstr. 5
	Tue, 2015-12-15, 10:00–13:00	Boltzmannstr. 15
	Wed, 2015-12-16, 10:00–12:00	Boltzmannstr. 3
	Wed, 2015-12-16, 16:00–18:00	Boltzmannstr. 5
	Tue, 2016-01-12, 10:00–13:00	Boltzmannstr. 15
	Wed, 2016-01-13, 10:00–12:00	Boltzmannstr. 3
	Wed, 2016-01-13, 16:00–18:00	Boltzmannstr. 5
	Tue, 2016-01-19, 10:00–13:00	Boltzmannstr. 15
	Wed, 2016-01-20, 10:00–12:00	Boltzmannstr. 3
	Wed, 2016-01-20, 16:00–18:00	Boltzmannstr. 5
	Tue, 2016-01-26, 10:00–13:00	Boltzmannstr. 15
	Wed, 2016-01-27, 10:00–12:00	Boltzmannstr. 3
	Wed, 2016-01-27, 16:00–18:00	Boltzmannstr. 5
	Tue, 2016-02-02, 10:00–13:00	Boltzmannstr. 15
	Wed, 2016-02-03, 10:00–12:00	Boltzmannstr. 3
	Wed, 2016-02-03, 16:00–18:00	Boltzmannstr. 5

Assignment to Modules

IN2064: Maschinelles Lernen / Machine Learning
This module is included in the following catalogs:
- Catalogue of non-physics elective courses

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