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We continue the series of educational courses Mathematical Foundations of Machine Learning. This course is dedicated to the fundamental mathematical concepts essential for understanding machine learning. At its core, any machine learning algorithm involves the minimization or maximization of certain parameters.

The first lecture will focus on mathematical optimization, providing insights into its methods and addressing challenges encountered when searching for the minimum of a function.Following this lecture, you will be acquainted with "Stochastic Gradient Descent", "Adam", etc.
Next, we will shift our focus to probability and statistics.This segment aims to provide you with an understanding of generative models.
Additionally, you will enhance your toolkit with Bayes' theorem, basic statistical analysis, and simple text classification.

when: 27.11.2023

language: English.

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