The purpose of this project is to provide students with an opportunity to apply existing Machine Learning algorithms to wide application area. In the lecture, students are introduced to the use of classical artificial intelligence techniques and the latest deep learning algorithms, which they would be able to apply to a project in your organization.

Classical artificial intelligence techniques include knowledge representation, heuristic algorithms, rule-based systems, probabilistic reasoning, fuzzy systems, neural networks, and genetic algorithms.

Deep learning algorithms include Convolutional Neural Networks (CNNs), Long Short Term Memory Networks (LSTMs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs).

By working with the students group, companies are able to testify their business idea, gather & analysis raw data, develop & verify AI algorithms & prototypes.

Deliverables will depend on the project and employer type. In general, they will be prototypes, analysis reports, etc.