Machine Learning (MSc)

Introductory Master's Course to Machine Learning (ML), which is both a cornerstone of Artificial Intelligence (AI) and a top skill sought by IT employers. Today ML is everywhere: search engines use it to improve answers, email programs use it to filter spam, banks use it to predict stock markets, doctors use it to recognize tumors, robots use it to localize themselves and to understand their environment, video games use it to enhance the player's experience, smartphones use it to recognize objects / faces / gestures / voices / music, and Large Language Models are rapidly becoming an indispensable tool of General Artificial Intelligence.

This course covers basic and advanced theory and methods of Machine Learning. From this wide field, we focus on neural networks and probabilistic models in both theory and practice. Students will solve theoretical exercises and perform programming tasks; after just a few lectures, they will be able to implement a neural network which performs image classification better than any other known method. The intention of this course is to lay a solid groundwork for the student, such that he/she will be able to understand advanced state-of-the-art methods, to skillfully use diverse methods to solve practical problems, and to properly interpret results.

Requirements: Knowledge of calculus, linear algebra, probability theory, Python programming

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