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DD2434 Machine Learning, Advanced Course 7.5 credits

Course memo Autumn 2021-1

Version 1 – 10/04/2022, 4:39:14 PM

Course offering

mladv21 (Start date 01/11/2021, English)

Language Of Instruction

English

Offered By

EECS/Intelligent Systems

Course memo Autumn 2021-1

Course presentation

A second course in machine learning, giving a broadened and deepened introduction to the area.

Headings denoted with an asterisk ( * ) is retrieved from the course syllabus version Autumn 2021

Content and learning outcomes

Course contents

The basics of the probabilistic method.

Probabilistic modelling.

Dimensionality reduction.

Graphical models.

Hidden Markov models.

Expectation-Maximization.

Variational Inference.

Networks in variational inference.

Intended learning outcomes

After passing the course, the student should be able to

  • explain and justify several important methods for machine learning
  • give an account of several types of methods and algorithms that are used in the field of deterministic inference methods
  • implement several types of methods and algorithms that are used in the field based on a high-level description
  • extend and modify the methods that the course deals with

in order to be able to do a degree project in deterministic inference methods.

Preparations before course start

Literature

No information inserted

Examination and completion

Grading scale

A, B, C, D, E, FX, F

Examination

  • LAB1 - Labs, 4.0 credits, Grading scale: A, B, C, D, E, FX, F
  • TEN1 - Exam, 3.5 credits, Grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

No information inserted

Round Facts

Offered By

EECS/Intelligent Systems

Language Of Instruction

English

Course offering

mladv21 (Start date 01/11/2021, English)