A Mathematical Introduction to Machine Learning

Utbildningsfakta

Kod: 5MA206

The course addresses the fundamental mathematical and statistical methods and models used within the field of machine learning. Its purpose is to provide a mathematical foundation for advanced level courses in machine learning and artificial intelligence, as well as to introduce machine learning applications within academia and industry. The course is comprised of two modules. Module 1 (4,5 hp): *Theory and problem solving* This module addresses fundamental statistical models, statistical learning and maximum likelihood estimation, with an emphasis on supervised learning. Several commonly used models are introduced, and their mathematical properties are discussed, for instance linear regression and classification models, neural networks, support vector machines, as well as models for unsupervised learning. Furthermore, evaluation and validation of models are addressed. Module 2 (3 hp): *Computer assignments* This module addresses the implementation of commonly occuring machine learning models, as well as investigating their properties.

Behörighet

The course requires courses in Mathematics, minimum 60 ECTS or at least two years of university studies and both cases require courses in linear algebra, multivariate calculus, mathematical statistics and computer programming, or equivalent. Proficiency in English and Swedish equivalent to the level required for basic eligibility for higher studies.

Utbildningstillfällen

Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.

• A Mathematical Introduction to Machine Learning

  Umeå University

  Startdatum: 2 november 2026

  Slutdatum: 17 januari 2027

  Studietakt: 50 %