Materials for undergraduates are posted here. (by Kashirin I.Yu.)

Neural networks for beginners (rus)

4 Methods of Text Vectorization (rus)

A brief overview of vectorization techniques in NLP (rus)

Parameters of the support vector machine (SVC)

Parameters of the k nearest neighbors method (KNN)

More detailed materials are available on the Russian-language website.

Attachments:

An example of a Python program for calculating semantic similarity NLP	[(en, rus)]	7 kB
The essence of autoencoder	[rus]	11 kB
Introduction to neural networks	[rus]	442 kB
The assignment for Laboratory works and the Course project of the MMO	[rus]	18 kB
Formal Software Machines for Object-Oriented Languages: C++	[(rus, en)]	379 kB
The essence of the word2vec algorithm	[rus]	29 kB
Сonfusion matrix (References)	[en]	26 kB