Introduction to Machine Learning

Education facts

Code: DA4004

Machine learning and artificial intelligence has a strong influence on society today, both in practice and in people’s minds. Many organisations, both in the public sector and in business, are trying to take advantage of the new technology. In this course you will be introduced to basic principles in the field of machine learning, good practice, as well as some important and easily accessible methods. In exercises you get to experiment with these methods and learn how to use them in practice.

Entry requirements

For course admission knowledge equivalent to the following is required: Mathematics I, 30 ECTS credits (MM2001), Programming Techniques for Mathematicians (DA2004) 7.5 ECTS credits.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Introduction to Machine Learning

  Stockholm University

  Stockholm

  Start date: 29 March 2027

  End date: 6 June 2027

  Pace of study: 50 %