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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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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. 

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

Contact us

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Náhledový obrázek novinky
Artificial intelligence (AI) 15. 11. 2024
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