Machine Learning
Description: The discipline introduces the concept of neural networks and machine learning. The main stages of designing neural systems, methods and algorithms of machine learning with and without a teacher are considered. Students will receive practical skills in using machine learning tools in applied problems, and will learn to evaluate the quality of the model.
Amount of credits: 8
Пререквизиты:
- Programming Microcontroller Systems for Electric Vehicles
Course Workload:
| Types of classes | hours |
|---|---|
| Lectures | 45 |
| Practical works | 30 |
| Laboratory works | |
| SAWTG (Student Autonomous Work under Teacher Guidance) | 45 |
| SAW (Student autonomous work) | 120 |
| Form of final control | Exam |
| Final assessment method |
Component: Component by selection
Cycle: Profiling disciplines
