The student understands basic concepts of AI and Machine Learning. The student is able to create and use Machine Learning Algorithms in Python. The student learns how to make analysis and predictions and knows which Machine Learning model to choose for each type of a problem.
- Basic concepts of AI and Machine Learning - Unsupervised and Supervised learning - Regression, Association, Classification - Naïve Bayes, Decision Trees and Neural Network Algorithms - Training and validation of models - Production testing of models
Basic knowledge of programming
Includes content of previous Mathematics 3 course. The course eliminates duplication observed in courses.
You can register for open UAS courses with an e-form or through a web shop. When registering through the web shop, you pay most single course fees are instantly; study modules containing several units (e.g. path studies) are billed separately. When you register through the e-form, the course fee is to be paid through the link delivered by email.
Registration is binding.
TAMK degree students register for courses through Pakki.