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Machine Intelligence II (unsupervised methods)

Lupe

The course will be offered in an online-form in the upcoming summer semester 2021.

Details will be explained in the ISIS course, which will be opened by Mon 12.04.2021 if not sooner. Access to the ISIS course requires a tubIT account.

General information

  • The courses Machine Intelligence I and II can be heard independently.
  • Information regarding the material, tutorials and the exam can be found on the ISIS page.
  • The lecture and tutorials are held in English.
  • The course is open to TU students as well as exchange students and visiting students.
  • You do not need a formal registration to attend the course. The registration is only relevant for the exam.
  • The exam registration procedure is announced in the first lecture. Prior registration/reservation is not possible.



Topics covered

  • Principal Component Analysis
  • Hebbian learning
  • Kernel PCA
  • Independent Component Analysis
  • Stochastic optimization
  • K-means clustering
  • Pairwise clustering
  • Self-Organizing Maps
  • Locally Linear Embedding
  • Probability density estimation
  • Mixture models & Expectation-Maximization algorithm
  • Hidden Markov Models
  • Estimation theory



Prerequisites

  • Solid mathematical knowledge: analysis, linear algebra, probability calculus and statistics. We emphasize this requirement because the course deals with the theoretical aspects and mathematical formulations of the learning algorithms.
  • Basic programming skills, preferably Python, R, Matlab, or Julia. The programming skills are relevant for solving the programming exercises.



Target Audience / Assessment and Grading

Program
Form of Assessment
MSc in Computational Neuroscience
The two courses (Machine Intelligence I and II) form a single module (12 ECTS).

assignments & oral exam
MSc in Computer Science
Each of the two courses (Machine Intelligence I or II) can be taken as a separate module (6 ECTS).

written exam (no assignments during the course)
Other study programs (e.g., mathematics, natural, and engineering sciences)
Each of the two courses (Machine Intelligence I or II) can be taken as a separate module (6 ECTS).

written exam (no assignments during the course)

 

For further information please consult (lecturer, in charge) or (assistant).

Zusatzinformationen / Extras

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Lecture

Machine Intelligence II
0434 L 867
Lecture

Lecturer: Klaus Obermayer

Period:
from 12.04.2021

Location: weekly videos via ISIS

ISIS

Hint:
The ISIS course page for SoSe21 will be made available shortly before the lecture period starts.

Tutorials

Lecturer: Youssef Kashef

Period:
from 12.04.2021

Fr 14:15 - 15:45 o'clock

Location: Zoom



ISIS

Hint:
Lecture and tutorial videos will be uploaded on a weekly basis. The tutorial will be in the form of a Q&A session via Zoom. The ISIS course for SoSe21 will be made available shortly before the lecture period starts.