Introduction to Applied Math and Machine Learning BasicsLaajuus (3 op)

Osaamistavoitteet

On completion of the course, student will understand the concept of basic mathematics dealing with discrete-valued data like Big data and what kind of mathematical approaches are used as the basis of Machine learning.

Sisältö

Introductory course for various mathematical basics applied for machine learning
Set-theory, Mapping, Relation
Probabilistic theory
Linear algebra
Numerical approaches
Clustering, Regression analysis, Principal component analysis
Stochastic approaches
Bayesian estimation, Bayesian network

Arviointikriteerit, tyydyttävä (1)

Students can understand the concept of various mathematical basics applied for machine learning.

Arviointikriteerit, hyvä (3)

Students can apply the mathematical approaches introduced in the class to sample problems

Arviointikriteerit, kiitettävä (5)

Students can apply the mathematical approaches introduced in the class to sample problems and analyize results.

Arviointikriteeri, hyväksytty/hylätty

Students can understand the concept of various mathematical basics applied for machine learning.