Algorithms for Machine Learning

About

This course provides engineering students with a comprehensive introduction to algorithms used in machine learning (ML). It covers fundamental concepts, techniques, and applications, focusing on both theoretical and practical aspects. Students will gain hands-on experience through programming assignments and projects, using popular machine learning libraries. The course on Algorithms for Machine Learning will be conducted using a blended learning approach that combines theoretical lectures, hands-on programming labs, interactive discussions, and practical projects. This methodology ensures a comprehensive understanding of both the foundational concepts and practical implementations of machine learning algorithms.

Course leader

Tecnun-University of Navarra

Target group

At least 2 years of study in an Engineering degree completed before the program start.

Prerequisites:
- Basic programming skills (Python preferred)
- Understanding of basic statistics and linear algebra

Course aim

• Understand the fundamental algorithms used in machine learning.
• Develop skills to implement and apply machine learning algorithms.
• Analyze the performance of different algorithms.
• Gain hands-on experience with machine learning tools and libraries.

Fee info