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Natural Language Processing In Action Understanding Analyzing And Generating Text With Python 1st Edition Hobson Lane

  • SKU: BELL-54424708
Natural Language Processing In Action Understanding Analyzing And Generating Text With Python 1st Edition Hobson Lane
$ 31.00 $ 45.00 (-31%)

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Natural Language Processing In Action Understanding Analyzing And Generating Text With Python 1st Edition Hobson Lane instant download after payment.

Publisher: Manning Publications
File Extension: PDF
File size: 9.44 MB
Pages: 545
Author: Hobson Lane, Cole Howard, Hannes Max Hapke
ISBN: 9781617294631, 1617294632
Language: English
Year: 2019
Edition: 1

Product desciption

Natural Language Processing In Action Understanding Analyzing And Generating Text With Python 1st Edition Hobson Lane by Hobson Lane, Cole Howard, Hannes Max Hapke 9781617294631, 1617294632 instant download after payment.

Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI.
 
Recent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries—all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before.
 
Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you’ll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.
 
What’s inside
Some sentences in this book were written by NLP! Can you guess which ones?
Working with Keras, TensorFlow, gensim, and scikit-learn
Rule-based and data-based NLP
Scalable pipelines

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