Natural Language Processing in Action

Name: Natural Language Processing in Action
Brand: Manning Publications
SKU: 9781617294631-G
Price: 10.49 EUR
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By Hobson Lane

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Description

Summary 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. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology 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. About the Book 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 About the Reader This book requires a basic understanding of deep learning and intermediate Python skills. About the Author Hobson Lane, Cole Howard, and Hannes Max Hapke are experienced NLP engineers who use these techniques in production. Table of Contents PART 1 - WORDY MACHINES- Packets of thought (NLP overview)- Build your vocabulary (word tokenization)- Math with words (TF-IDF vectors)- Finding meaning in word counts (semantic analysis)PART 2 - DEEPER LEARNING (NEURAL NETWORKS)- Baby steps with neural networks (perceptrons and backpropagation)- Reasoning with word vectors (Word2vec)- Getting words in order with convolutional neural networks (CNNs)- Loopy (recurrent) neural networks (RNNs)- Improving retention with long short-term memory networks- Sequence-to-sequence models and attentionPART 3 - GETTING REAL (REAL-WORLD NLP CHALLENGES)- Information extraction (named entity extraction and question answering)- Getting chatty (dialog engines)- Scaling up (optimization, parallelization, and batch processing)

Product details

Binding:

Paperback

Edition:

1

Number of Pages:

544

Release Date:

2019-05-28

Publication Date:

2019-06-13

Publisher:

Manning Publications

Languages:

Original: English

ISBN10:

1617294632

ISBN13:

9781617294631

GPSR Manufacturer Reference:

[email protected]

Weight:

992 g

Height:

185 cm

Width:

232 cm

Thickness:

30 cm

Condition

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Good

The items bear minimal signs of past use, such as light scratches or memories in the form of markings. These signs of wear give the items a charming character and tell stories of their previous owners, while not affecting their functionality.

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