Artificial Intelligence and Machine LearningLaajuus (5 op)
Tunnus: 5G00FP31
Laajuus
5 op
Osaamistavoitteet
After completing the course, the students will be able to:
- Select approprite ML/AI algorithm for common use cases
- Use trained model to make classifications or predictions
- Train new ML/AI models with prepared data
Sisältö
Basic concepts and different types of Machine Learning and AI, Concepts and requirements with data preparation, Making predictions and classifications with pre-trained models in Python, Training custom models with own data in Python.
Esitietovaatimukset
Basics of Programming with any language preferred. Pyhton language will be used in the course.
Arviointikriteeri, hyväksytty/hylätty
The student is able to reach the objectives of this course
The student is not able to reach the objectives of this course
Ilmoittautumisaika
02.12.2021 - 31.12.2021
Ajoitus
01.08.2022 - 23.12.2022
Laajuus
5 op
Toteutustapa
Lähiopetus
Yksikkö
Liiketoiminta
Toimipiste
TAMK Pääkampus
Opetuskielet
- Englanti
Opettaja
- Teemu Heinimäki
Vastuuhenkilö
Hanna Riskilä
Ryhmät
-
21DIOTSecure IoT-systems for Smart Industry
Tavoitteet (OJ)
After completing the course, the students will be able to:
- Select approprite ML/AI algorithm for common use cases
- Use trained model to make classifications or predictions
- Train new ML/AI models with prepared data
Sisältö (OJ)
Basic concepts and different types of Machine Learning and AI, Concepts and requirements with data preparation, Making predictions and classifications with pre-trained models in Python, Training custom models with own data in Python.
Esitietovaatimukset (OJ)
Basics of Programming with any language preferred. Pyhton language will be used in the course.
Arviointikriteerit, hyväksytty/hylätty (OJ)
The student is able to reach the objectives of this course
The student is not able to reach the objectives of this course
Arviointiasteikko
0-5