Introduction to Machine Learning

Education facts

Code: DVG337

In today's data-driven world, machine learning is revolutionizing industries from healthcare to finance to entertainment, and it is becoming increasingly essential to many fields. So, whether you are a student or a professional in the industry, machine learning skills are in demand. This course is a perfect starting point to gain the skills needed to succeed in this exciting and rapidly growing field. Throughout the course, you will gain an in-depth understanding of supervised, unsupervised, and reinforcement learning methods and their practical considerations. You will be able to explain the ideas, assumptions, and intuition behind different machine-learning approaches and analyze relevant applications. The lectures, assignments, and project work are designed to provide you with hands-on experience in implementing machine learning methods in different applications. This course provides basic machine-learning skills to anyone interested in pursuing a career in data science, computer vision, or natural language processing but can be very useful in lots of other professions as well.

Entry requirements

Completed courses of at least 30 cr in Computer Science and Mathematics, including the courses Programming Methodology 7,5 cr and Linear Algebra 7,5 cr, or equivalent

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.

• Introduction to Machine Learning

  University of Gävle

  Start date: 31 August 2026

  End date: 17 January 2027

  Pace of study: 25 %