Natural language processing

Machine learning training


Python syntax
Solid knowledge of basic machine learning ideas
(validation methods, gradient descent algorithm, preventing overfitting)
Machine learning experience

Skills your team will gain

An understanding of the properties of natural language data

The ability to create and work with embeddings of natural language data.

Experience in creating NLP solutions using recurrent neural networks.


1 day


Part 1

Introduction to Natural Language Processing

  • Text embedding algorithms, e.g. Bag-of-words, TF-IDF, Word2Vec
  • Recurrent neural networks, LSTM networks

Part 2

Hands-on coding

  • Case study: training Skip-gram model in PyTorch
  • Using pre-trained word embeddings in topic classification

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    Find us
    •, Inc.
    • 2100 Geng Road, Suite 210
    • Palo Alto, CA 94303
    • United States of America
    • Sp. z o.o.
    • al. Jerozolimskie 162A
    • 02-342 Warsaw
    • Poland
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