On July 17, a course “Mathematics of Artificial Intelligence” will be held with Oleksandr Romanko, who is a professor for a part-time at the University of Toronto and UCU, as well as the Honorary Director of the МВАІ program at Kyiv School of Economics. Alexander will tell about the practical side of the application of mathematics in Data Science and AI.
Oleksandr received a doctoral and master’s degrees in the field of computer science at the University of McMaster (Canada), a master’s degree in the economy in Karlovy University (Czech Republic), and a diploma specialist Sumy State University.
The course will be useful to all those who know how to count the derivative or once heard of it. Also, all who seek to understand optimization models, statistics, machine learning algorithms, and neural networks use mathematics in examples of practical cases in Python.
Knowledge of Python is not required to understand examples.
— Overview of school mathematics (functions, equations, derivatives)
— Mathematics for statistics
— Mathematics of optimization algorithms
— Mathematics for simulation analysis
— Mathematics of machine learning
— Mathematics of neural networks
Course language: Ukrainian, slides, and explanations to Python examples in English.