Applied Machine Learning

Target audience

Participants interested in having a practical introduction to machine learning for analysing data and addressing competition-enforcement challenges.

Intended Learning Outcomes

At the end of the course, participants will be able to:

1. Understand and categorize a machine learning problem
2. Choose the appropriate technique to address a machine learning problem
3. Implement or use already implemented versions of the basic machine learning techniques

Estimated Time for Completion

12 hours

Level

Level 6: Bachelor’s degree (first cycle)

Type of the assessment

Quizzes and project evaluation

Form of participation in the learning activity

• Asynchronous learning (videos, quizzes, exercises)
• live training workshop (exercise resolution and clarification)
• Project work in groups

Pre-requisites

• Basics of Python programming

• Basics of linear algebra and probability