Artificial intelligence, supervised/unsupervised learning, neurocomputing, neural networks, mutlilevel perceptron, generalization, boosting, AdaBoost, signal analysis.

Type of methodology: Combination of lecture and hands-on

Participants receive the certificate of attendance: Yes

Paid training activity for participants: Yes, for all

Participants prerequisite knowledge: Numerical methods (linear algebra, statistics) Domain-specific background knowledge