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Introduction to Machine Learning

  • Credits 2 credits
  • Study location Independent of location
  • $stringTranslations.StartDate 2023-01-16 - 2023-06-04 (part time 10%)
  • $stringTranslations.StartDate 2023-01-16 - 2023-06-04 (part time 10%)
  • Education level First cycle
  • Course code DVA133
  • Main area Computer Science
  • Application code: MDU-14531

In this course you learn the foundation of Machine Learing.

About the course

Today, the explosion of data has created new opportunities to apply machine learning (ML). Handling of the large amounts of data created by the very rapid digitization would not be possible without Machine Learning (ML).

The purpose of the course "Introduction to Machine Learning" is to give you the foundation for ML. You will get an introduction to the basic areas of ML: data, statistics and probability for ML.

 

You will learn to

  • describe fundamentals of machine learning
  • understand the basic of data manipulation and processing
  • perform basic mathematical and statistical operations for machine learning using Python.

 

Entry requirements

Mathematics C or Mathematics 3b/3c.

You can also apply for the course and get your eligibility evaluated based on knowledge acquired in other ways, such as work experience, other studies etc. Read more in Application information below.

Language

English

Lärare

Apply to the course

Introduction to Machine Learning

Go to application

Course syllabus

You can read in detail about the course, it's content and literature and so on in the course syllabus

See course syllabus

Application information

You’ll find the entry requirements in the course description. After submitting your application, the next step is to submit documentation to demonstrate your eligibility for the course. Most academic credentials from Sweden are retrieved automatically. Wait a few days after submitting your application - if you still can’t see your academic credentials om My pages, please upload them.

If you have studied in another country, you must provide transcripts of your academic studies and of your English proficiency. Exactly what you need to submit and how, depends on several factors. You can read more on universityadmissions.se or antagning.se.

If the course requires work experience, you need to provide an employer’s certificate. You can download a template for employer’s certificate below.

No academic qualifications?

Many courses requires that you have previous academies studies, but we can validate work experience to determine whether you have the qualifications for the course.

If you don’t have the formal qualifications required, please send in a certificate of employment (current or previous) and a CV/Description of competence that describes your educational and professional background. Please include a short description of your work experience, not only the work title.

Use the CV/ Description of competence template below and fill in the information requested.

You can also use our template for Employers certificate if you like.

Download a template for CV/Description of competence Word, 45.5 kB, opens in new window.

Download a template for Employers certificate Word, 38 kB, opens in new window.

If you have any questions regarding eligibility or application please send an e-mail to lifelonglearning@mdu.se