Foundations of machine learning

Education facts

Code: ETE370

<h3><strong>Course content</strong></h3><p>The course aims to give an introduction to machine learning, with emphasis on so-called supervised learning. The aim is to understand what machine learning is, what types of machine learning exist, their possibilities and limitations, and to get an overview of common methods and machine learning techniques.</p><h3><strong>Start the course whenever you want</strong></h3><p>You can start&nbsp;the course almost&nbsp;anytime you want as the course is an online course with flexible admission. You make the application for the semester you intend to start reading the course. Choose the semester&nbsp;you are interested in above, and you will find&nbsp;the right application opportunity. If you want to start directly, you apply for the current semester. Up to the autumn semester 2021, the course had course code ETE336. When you have received your notification of admission, you find more information on what to do in the next step on the course site: foundations-of-ml.ida.liu.se&nbsp;</p><h3><strong>Course outline</strong></h3><p>The course is distance-based and you can take it in your own pace. It is handled entirely using a web-based course platform (foundations-of-ml.ida.liu.se). The course is based on self-study of the course material and is examined with self-correcting tests and submissions.&nbsp;</p><p>The course is given and examined over the Internet.</p><h3><strong>Information on&nbsp;general entry requirements&nbsp;</strong></h3><p>Please note that you must be able to prove that you fulfill the general entry requirements when applying for the course. If your final school grades are not already on your pages at antagning.se, then you need to upload your upper secondary qualification, or equivalent, at antagning.se in connection with your application.</p>

Entry requirements

General entry requirements for undergraduate studies and English and Mathematics corresponding to the level in Swedish upper secondary education (Engelska 6 and Matematik 3b/3c or Matematik D or Matematik fortsättning nivå 1b or Matematik fortsättning nivå 1c). Exemption from Swedish

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Foundations of machine learning

  Linköping University

  Distance

  Start date: 18 January 2027

  End date: 20 June 2027

  Pace of study: 10 %