Natural language processing

Machine learning training

Prerequisites

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.

Duration

1 day

Agenda

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

Contact us

Locations
  • deepsense.ai, Inc.
  • 2100 Geng Road, Suite 210
  • Palo Alto, CA 94303
  • United States of America
  • deepsense.ai Sp. z o.o.
  • al. Jerozolimskie 44
  • 00-024 Warsaw
  • Poland
  • ul. Łęczycka 59
  • 85-737 Bydgoszcz
  • Poland
Let us know how we can help