Machine_Learning Course description in Danish

Machine Learning

About the course:

Large, successful organisations or companies like Google and Amazon have invested huge amounts in machine learning, which they use to analyze their customers' interests and behaviors to optimize their products, processes and marketing.

In this course, you will learn to master the essential machine learning models in Matlab, Python, or R.

The course builds on the successful DTU course and textbook: "Introduction to Machine Learning and Data Mining", and is taught by DTU Associate Professors Morten Mørup and Mikkel N. Schmidt who have 10+ years of experience in machine learning research.

The course provides:
  • A strong intuition of different machine learning algorithms and knowledge of which methods you can apply on a given problem.
  • Skills in specific topics like model construction (feature extraction, dimensionality reduction, cross-validation, and model selection); supervised learning (linear regression, logistic classification, decision trees, artificial neural networks, and ensemble learning); and unsupervised learning (hierarchical clustering, kernel density estimation, mixture modeling, association mining, and outlier detection).
  • In particular, the course will establish the major steps in any machine learning pipeline from preparing the data, to modeling the data and disseminating the results, and throughout the course we encourage participants to apply the methods learned on their own data and problem domains.
Who is the course for?

The target audience is anyone who is interested in machine learning, who is comfortable with 1st year university math (linear algebra and basic probability) and ready to endeavor into creating and programming machine learning algorithms.

  • Linear algebra as covered in this study material
  • Basic probability theory study material
  • Basic programming skills in either Matlab, Python, or R

Register here

Practical information

Date: 25 - 29 March 2019

Duration: 09:00 - 16:00

Location: DTU, Anker Engelunds Vej 1, Bulding 101A, meeting center S12, Kgs. Lyngby

Language: English

Registration deadline:
18 March 2019

Price: 20.000 DKK excl. VAT.


Course responsible
Morten Mørup
Tel: +45 45 25 39 00