Advanced machine and deep learningLaajuus (5 cr)

Objective

You understand the theoretical principles of machine and deep learning models.
You can program advanced machine and deep learning models.
You can evaluate and improve machine learning models.
You are familiar with advanced learning algorithms and their applications.
You can select an appropriate machine learning model for a specific application.

Content

How are advanced learning algorithms programmed?
How is an appropriate machine learning model selected?
How are machine and deep learning models fine-tuned?
What are the foundations of advanced learning algorithms?

Qualifications

Knowledge of applied mathematics, data analysis, machine learning, and deep learning is required.

Evaluation

a. use professional vocabulary and concepts in an expert way in different situations.
b. assess information sources critically.
c. work as team members in working life expert duties and identify and describe the problems of the professional field.
e. choose appropriate models, methods, software and techniques according to the purpose and justify these choices.
g. apply critically the ethical principles of the professional field in different situations.