Natural Language Processing

Course code: MLNLP

This course is focused on the analysis and processing of text data. We are expecting knowledge of basic principles of machine learning in the same extent as the Introduction to Machine Learning course provides.
A special attention will be aimed to text preprocessing and vectorization, which is crucial for NLP. We will further focus on text classification, language modeling and text synthesis.

210 EUR

254 EUR including VAT

The earliest date from 07.04.2025

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Course dates

Starting date: 07.04.2025

Type: In-person/Virtual

Course duration: 1 day

Language: cz/sk

Price without VAT: 210 EUR

Starting date: Upon request

Type: In-person/Virtual

Course duration: 1 day

Language: en/cz

Price without VAT: 210 EUR

	Starting date	Type	Course duration	Language	Price without VAT
	07.04.2025	In-person/Virtual	1 day	cz/sk	210 EUR	Register

	Upon request	In-person/Virtual	1 day	en/cz	210 EUR	Register
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Course structure

Introduction to natural language processing
Chapters from computational linguistics (corpus, tokenization, morphological, syntactic and semantic analysis, entropy, perplexity)
Text document vectorization (bag of words, one-hot encoding, TF-IDF)
Practical taks on text classification
Word embedding (word2vec, GloVe)
Introduction to language modelling (n-gram models, smoothing, neural network based language models)
Practical task on language modelling (implementation of a language detection algorithm based on language models)
Neural network based text generator

Prerequisites

basic knowledge of programing in Python
high school level of mathematics
Basics of machine learning on the level of our course Introduction to machine Learning