The basics of maching learning

Goal of course: learn the basic AI and ML methods and their application in practice Tasks: to study the history AI and ML development; to learn the basic terms and the main methods of AI and ML; to investigate the possibility of applying AI and ML
48 academic hours

О курсе

This course consists of lectures and laboratory work assignments. It focuses on key methods of Artificial intelligence and Machine learning. It provides hands-on experience and promotes a ‘learn-by-doing” approach.

Our course includes:

•Brief theoretical explanation focused on algorithms
•Functional computer models
•Source code with comments for all covered models


Course Section:

•The history of AI & ML
•Simulated annealing method
•Perceptron learning
•Hopfield Networks
•Classification using Kohonen Networks
•Self-Organizing Maps, SOM
•Genetic algorithms
•Reinforcement learning
•Deep Learning. Important trends. The Python Deep Learning library «Keras». Modern high-level neural networks with a focus on enabling fast experimentation

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Masters

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