New Natural Language Processing Lecture from Design Automation Department Assistant Ivan Khakhanov!

As preparations for the new academic year continue, a new lecture from the “Practical Machine Learning” course has been released, prepared by Doctor of Philosophy, Assistant of the Design Automation Department, Ivan Khakhanov. This material is dedicated to one of the most relevant topics in IT — Natural Language Processing (NLP).

Main Topics of the Lecture:

Natural Language Processing (NLP). You will learn about basic concepts such as tokenization, vectorization, and text classification.
Basic NLP Algorithms. The lecture covers key methods that preceded the rise of modern large language models, including Bag of Words, TF-IDF, and Word Embeddings.
Practical Applications of NLP. You’ll see how these technologies are used in the real world: from chatbots and sentiment analysis to search engines and translation software.

This lecture is an excellent opportunity to deepen your knowledge in the field of machine learning and learn how to work with text data.

Join the course via the link:

Lecture on NLP: https://www.youtube.com/watch?v=48ZK2JcoHyU&ab_channel=Hahanov

The creation of this course is an example of a contribution to achieving the UN Sustainable Development Goals. Specifically, it aligns with “Quality Education” (SDG 4) by providing up-to-date knowledge in machine learning, and “Partnership for the Goals” (SDG 17).