<a target="_blank" rel="noopener noreferrer" href="https://mts.mts-link.ru/j/MTC/nlp2024autumn">https://mts.mts-link.ru/j/MTC/nlp2024autumn</a>

link to join lectures online

Final Projects. NLP-course. Autumn 2024

Хакатон

Final Projects

Теория

1. Introduction to Natural Language Processing

Квест

Test 1

Course block deadline expired on 26.09.2024 20:59

Block deadline expired

2. Machine Learning Basics and Text Classification

Test 2

Course block deadline expired on 03.10.2024 20:59

3. Word Embeddings

Test 3

Course block deadline expired on 10.10.2024 20:59

Practice word2vec Lite

Course block deadline expired on 24.10.2024 20:59

Practice Word2Vec Hard

4. Convolutional Neural Networks

Test 4

Course block deadline expired on 17.10.2024 20:59

Practical Assignment 2: Text multiclass classification: store's review rating

Your task is to classify the store's review rating into 5 classes. The metric is F1-score.

Соревнование

Practice 2

Course block deadline expired on 14.11.2024 20:59

5. Recurrent Neural Networks and Sequence Tagging

Test 5

6. Machine Translation

Test 6

Course block deadline expired on 31.10.2024 20:59

7. Transformers

Test 7

Course block deadline expired on 07.11.2024 20:59

8. Large Language Models

Test 8

Консультация по проектам

A. Hidden Markov Models and Tagging

Test 9

B. Topic Modeling

Test 10

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Official support channel

&nbsp;

Lecturers: 
Valentin Malykh (<a href="http://val.maly.hk/" rel="noopener noreferrer" target="_blank">personal page</a>)

Logistics: 
Lectures at 19:00 MSK at Thursdays online. First lecture will be at 12th of September.&nbsp;

Link to join lectures: <a href="https://mts.mts-link.ru/j/MTC/nlp2024autumn" rel="noopener noreferrer" target="_blank">https://mts.mts-link.ru/j/MTC/nlp2024autumn</a>

Info regarding the seminars will be added in the meantime.

&nbsp;

Syllabus:

<ul>
	<li>Introduction to Natural Language Processing</li>
	<li>Machine Learning Basics and Text Classification</li>
	<li>Word Embeddings
	<ul>
		<li>1st Assignment</li>
	</ul>
	</li>
	<li>Convolutional Neural Networks
	<ul>
		<li>2nd Assignment</li>
	</ul>
	</li>
	<li>Hidden Markov Models and Tagging</li>
	<li>Recurrent Neural Networks</li>
	<li>Topic Modeling</li>
	<li>Statistical Machine Translation</li>
	<li>Transformers</li>
	<li>Conversational AI</li>
	<li>...additional topics</li>
</ul>

&nbsp;

Prerequisites:

<ul>
	<li>Basic Python Programming</li>
	<li>College Calculus, Linear Algebra</li>
	<li>Basic Probability and Statistics</li>
	<li>Foundations of Machine Learning</li>
</ul>

Assignments:

&nbsp; 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<a href="https://ods.ai/projects" rel="noopener noreferrer" target="_blank"> here</a>.

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.

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Registration application for Course Season Autumn 2024

Natural Language Processing course (stream 7, autumn 2024)