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Natural Language Processing

This course is focused on the analysis and processing of text data.
Level
Designed for participants with basic knowledge and experience
intermediate
Course length
1 day
Language
 cz  eu
Course code
PU21110285
Machine learning
Category:
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Courses with lecturer

Term
Language
Place
Form
?
How and where the course takes place.
Price without VAT
7. 4. 2025 09:00 - 17:00
Language
Place
Praha
Form
classroom
?
The course with an instructor in classroom.
Code of the course: PU21110285-0021
Price without VAT
4 990 Kč
7. 4. 2025 09:00 - 17:00
Language
Place
online
Form
virtual classroom
?
Online training with a lecturer at a specific time.
Code of the course: PU21110285-0022
Price without VAT
4 990 Kč
Open term
?
We will agree on a specific date together. This is a non-binding order.
Language
Place
Praha
Form
classroom
?
The course with an instructor in classroom.
Code of the course: PU21110285-0004
Price without VAT
4 990 Kč
Open term
?
We will agree on a specific date together. This is a non-binding order.
Language
Place
Praha
Form
classroom
?
The course with an instructor in classroom.
Code of the course: PU21110285-0005
Price without VAT
4 990 Kč

Course description

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.

Required knowledge

  • 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

Course content

  • 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

Lecturers

Jiří Materna
Jiří Materna

He is a machine learning specialist with experience in its applications in industry since 2007. Between 2008 and 2017, he worked at Seznam.cz, of which the last 7 years as head of the research department. He now works as a freelancer, offers the development of custom machine learning solutions, organizes the Machine Learning Prague conference and writes the ML Guru blog. 

Do you want this tailor-made course for your company?

Contact us

News with the course

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Previous courses

Follow-up courses

Do you want this tailor-made course for your company?

Contact us

News with the course

Náhledový obrázek novinky
Machine Learning 18. 3. 2023
The differences between Machine learning and Artificiant inteligence

Machine learning (ML) and Artificial intelligence (AI) are related fields, but they are not the same thing. AI is a broader field that encompasses many different technologies, including machine learning. Check with us the key differences between machine learning and artificial intelligence.

Náhledový obrázek novinky
Machine Learning 3. 6. 2021
Discover the benefits of Machine Learning

Machine Learning allows companies to be efficient, search for patterns in data, automate and make decisions with minimal human intervention. Learned algorithms solve defined tasks in real time and based on input data. At the same time, they learn from the new data and adapt to changing conditions.

Why with us