Machine Learning and Deep Learning Brush-up Course

Course manual 2024/2025

Objectives

• The student can explain, motivate, and distinguish the main areas of machine learning in general and on examples
• The student can explain the major probabilistic learning principles with their advantages and shortcomings
• The student can set up learning objectives with the taught models, can explain them and the made model assumptions, can reason about and inside them, and can manipulate them
• The student can explain how to train and validate models
• The student can explain the principles behind deep learning with neural networks and knows how to train them.

Learning activities

Attendance

This programme does not have requirements concerning attendance (OER part B).

Assessment

Fraud and plagiarism

The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.student.uva.nl

Course structure

Contact information

Coordinator

• N. Awasthi