Machine learning and Artificial Intelligence 2 (5cr)

Objective

This module is covering advanced topics of Machine Learning and Artificial Intelligence methods and algorithms used in Data Analytics. In addition to theoretical knowledge on these methods, you will learn how to implement them in a programming environment. The prerequisite for this course is a successful completion of Mathematics and Statistics 1 and 2, Machine learning and Artificial Intelligence 1, and a good understanding of Data Analytics processes and methods.

Content

Tieto puuttuu

Qualifications

NULL

Assessment criteria, satisfactory (1)

Evaluation target: You know the essentials of Machine Learning (ML) algorithms and Artificial Intelligence (AI) and can apply them in practice.

Satisfactory
You implement simple ML and AI tasks in a programming environment, but you often need assistance and instructions.

Assessment criteria, good (3)

Good
You implement typical ML and AI tasks according to the requirements, and you can solve related challenges independently.

Assessment criteria, excellent (5)

Excellent
You produce complex and efficient implementations of ML and AI tasks independently and according to the requirements.