Study Guide

Objective

The student applies neural networks to solve a real problem. This includes analyzing the problem field, acquiring and familiarizing yourself with the data, searching for, testing and evaluating alternatives, implementing and validating the chosen solution, building data processing tubes, and deploying the solution.

Content

- Group work project in accordance with the objectives of the course
- Applying the machine learning process model from idea to product
- Problem-based use of neural network and machine learning libraries

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student works during the project achieving the goals.

Assessment criteria, good (3)

The student is active and collaborative and achieves the goals of the project.

Assessment criteria, excellent (5)

The student is an innovative member of the project team and his/her contibution to project is essential.

Assessment criteria, approved/failed

The student works during the project achieving the goals.

Prerequisites

Data Handling and Machine Learning, Neutral Networks