Natural Language Processing course (stream 5, autumn 2023)

Natural Language Processing (NLP) is a domain of research whose objective is to analyze and understand human languages and develop technologies to enable human machine interactions with natural languages. NLP is an interdisciplinary field involving linguistics, computer sciences and artificial intelligence. The goal of this course is to provide students with comprehensive knowledge of NLP. Students will be equiped with the principles and theories of NLP, as well as various NLP technologies, including rule-based, statistical and neural network ones. After this course, students will be able to conduct NLP research and develop state-of-the-art NLP systems.

NLPcoursefest

12/18/23

Встреча студентов курса пройдет 22 декабря в московском офисе МТС ИИ

Official support channel: https://t.me/+RxMrIGZ213lkNGJi

Lecturers:
Valentin Malykh (personal page)

Logistics:Lectures at Thursdays 19:40 MSK online. First lecture will be at 14th of September.

Info regarding the seminars will be added in the meantime.

Syllabus:

Introduction to Natural Language Processing
Machine Learning Basics and Text Classification
Word Embeddings
- 1st Assignment
Convolutional Neural Networks
- 2nd Assignment
Hidden Markov Models and Tagging
Recurrent Neural Networks
Topic Modeling
Statistical Machine Translation
Transformers
Conversational AI
...additional topics

Prerequisites:

Basic Python Programming
College Calculus, Linear Algebra
Basic Probability and Statistics
Foundations of Machine Learning

Assignments:

There will be two assignments on the course.

Projects:
The participants will be suggested to work on a project during the course. The successful project development is crucial to pass the course.
The projects from previous runs are available here.

Track program