Machine Learning

Master

In Bergen (Norway)

Price on request

Description

  • Type

    Master

  • Location

    Bergen (Norway)

  • Duration

    2 Years

  • Start date

    Different dates available

A Master's degree in informatics with a specialization in machine learning focuses on developing computer programs that improve their performance based on empirical data. This type of self-learning programs are behind much of the recent breakthroughs in artificial intelligence.

The degree gives the candidate a good understanding on the theoretical aspects of machine learning as well as practical application of machine learning methods.

Programme profile
The machine learning group concentrates on core of machine learning: development of new methods and better algorithms for machine learning tools. Our master programme gives a good understanding on the theoretical aspects of machine learning as well as practical application of machine learning methods.

Facilities

Location

Start date

Bergen (Norway)
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Start date

Different dates availableEnrolment now open

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Reviews

This centre's achievements

2019

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 5 years

Subjects

  • Algorithms
  • Programme
  • Knowledge
  • Learning
  • Strengths
  • Weaknesses
  • Theoretical
  • Implement
  • Machine
  • Independently

Course programme

Learning Outcomes
  • On completion of the programme the candidate should have the following learning outcomes defined in terms of knowledge, skills and general competence:
Knowledge

The candidate
  • understands theoretical basis of machine learning
  • knows strengths and weaknesses of the main types of machine learning methods and can choose an appropriate one for problems at hand.
Skills

The candidate
  • can design and implement machine learning algorithms
  • can solve real-world problems using machine learning
General competence

The candidate
  • is able to work independently and in groups with others
  • has critical and analytical view of his/her own work and that of others.

Machine Learning

Price on request