Official course description, subject to change:
Preliminary info last published 31/07-19

Machine Learning

Course info
Language:
English
ECTS points:
15
Course code:
BSMALEA1KU
Offered to guest students:
yes
Offered as a single subject:
yes
Price (single subject):
21250 DKK (incl. vat)
Programme
Level:
Bachelor
Programme:
Bachelor of Science in Data Science
Staff
Course semester
Semester
Efterår 2020
Start
24 August 2020
End
31 January 2021
Abbreviation
20202
Exam
Exam type
ordinær
Internal/External
ekstern censur
Grade Scale
7-trinsskala
Exam Language
GB
Abstract

This course gives a fundamental introduction to machine learning (ML) with an emphasis on statistical aspects. In the course, we focus on both the theoretical foundation for ML as well as the application of ML methods.

Description

The course enables students to analyse machine learning algorithms, implement abstractly specified machine learning methods in an imperative programming language, modify machine learning methods to analyse practical datasets and convey the results.

The subjects covered include linear models for regression and classification, neural networks, kernel methods and graphical models.

  • Linear models for regression and classification
  • Neural networks
  • Kernel methods
  • Graphical models
  • Mixture Models and EM
  • Continuous Latent Variable
  • Models for Sequential Data
  • Ensemble methods

Intended learning outcomes

After the course, the student should be able to:

  • Discuss, clearly explain, and reflect upon central machine learning concepts and algorithms.
  • Choose among and make use of the most important machine learning approaches in order to apply (match) them to practical problems.
  • Implement abstractly specified machine learning methods in an imperative programming language.
  • Combine and modify machine learning methods to analyse practical dataset and covey the results.
Ordinary exam
Exam type:
D: Submission of written work with following oral, external (7-trinsskala)
Exam variation:
D2G: Submission of written work for groups with following oral exam supplemented by the work submitted. The group has a shared responsibility for the content of the report.
Exam description:
The group makes their presentations together and afterwards the students participate in the dialogue individually while the rest of the group is outside the room. (Mixed exam 2). The exam will last 20 min per students. The groups must consist of 2-3 persons.