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## Machine Intelligence I (supervised methods)

**General information**

- The course
*Machine Intelligence I*will be offered during WS 20/21 in an online format. However, the exam at the end of the semester is a written exam which will take place on-site. Remote online exams will not be possible. - The courses
*Machine Intelligence I*and*II*can be heard independently. You do not have to take one in order to take the other. - The lecture and tutorials are held in English.
- The course is open to TU students as well as exchange students and visiting students. Non-TU students should apply to a Neben-/Gasthörschaft to gain access to the course material.
- No formal registration is required 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 and not necessary.
- Information regarding the material, tutorials and the exam can be found on the ISIS page (see panel on the right).

**Topics covered**

- Connectionist neuron
- Feed-forward neural networks
- Learning and generalization
- Deep Learning
- Recurrent neural architectures
- Radial basis function networks
- Elements of statistical learning theory
- Structural risk minimization
- Support vector machines
- Uncertainty and inference
- Bayesian networks
- Bayesian Inference and Neural Networks
- Reinforcement learning

**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 Klaus Obermayer (lecturer, in charge) or Youssef Kashef (assistant).