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Machine Learning

Description

Introductory Master's Course to Intelligent Systems (IS) or Artificial Intelligence (AI), taught by award-winning experts of the Swiss AI Lab IDSIA, and USI. The focus is on Machine Learning (ML). According to Computer World (2009), expertise in ML is the top skill sought by IT employers. Today ML is everywhere: search engines use it to improve answers to queries, email programs use it to filter spam, banks use it to predict exchange rates and stock markets, doctors use it to recognize tumors, robots use it to localize themselves and obstacles, video games use it to enhance the player's experience, smartphones use it to recognize objects / faces / gestures / voices / music, etc. After the first few lectures of the basic IS course on ML, IS master students will already know how to train self-learning artificial neural networks to recognize images and handwriting better than any other known method. They will rapidly gain familiarity with state-of-the-art algorithms developed at IDSIA and other AI labs.

 

 

REFERENCES

  • Pattern recognition and machine learning; by Christopher M. Bishop. - New York, NY : Springer, 2006

People

 

Schmidhuber J.

Course director

Gromov B.

Assistant

Schlag I.

Assistant

Additional information

Semester
Fall
Academic year
2017-2018
ECTS
6
Education
Master of Science in Artificial Intelligence, Core course, Lecture, 1st year

Master of Science in Computational Science, Elective course, Lecture, 2nd year

Master of Science in Cyber-Physical and Embedded Systems, Elective course, Lecture, 2nd year

Master of Science in Financial Technology and Computing, Core course, Lecture, 2nd year

Master of Science in Informatics, Core course, Lecture, 1st and 2nd year

Master of Science in Management and Informatics, Core course, Lecture, 2nd year

PhD programme of the Faculty of Informatics, Elective course, Lecture, 1st, 2nd and 3rd year