did-you-know? rent-now

Rent More, Save More! Use code: ECRENTAL

did-you-know? rent-now

Rent More, Save More! Use code: ECRENTAL

5% off 1 book, 7% off 2 books, 10% off 3+ books

9781617294631

Natural Language Processing in Action

by ; ;
  • ISBN13:

    9781617294631

  • ISBN10:

    1617294632

  • Format: Paperback
  • Copyright: 2019-04-14
  • Publisher: Manning Pubns Co

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

Purchase Benefits

  • Free Shipping Icon Free Shipping On Orders Over $35!
    Your order must be $35 or more to qualify for free economy shipping. Bulk sales, PO's, Marketplace items, eBooks and apparel do not qualify for this offer.
  • eCampus.com Logo Get Rewarded for Ordering Your Textbooks! Enroll Now
  • Buyback Icon We Buy This Book Back!
    In-Store Credit: $2.00
    Check/Direct Deposit: $1.90
    PayPal: $1.90
List Price: $59.99 Save up to $29.99
  • Rent Book $30.00
    Add to Cart Free Shipping Icon Free Shipping

    TERM
    PRICE
    DUE
    IN STOCK USUALLY SHIPS WITHIN 24-48 HOURS.
    *This item is part of an exclusive publisher rental program and requires an additional convenience fee. This fee will be reflected in the shopping cart.

How To: Textbook Rental

Looking to rent a book? Rent Natural Language Processing in Action [ISBN: 9781617294631] for the semester, quarter, and short term or search our site for other textbooks by Lane, Hobson; Howard, Cole; Hapke, Hannes Max. Renting a textbook can save you up to 90% from the cost of buying.

Summary

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

  1. Packets of thought (NLP overview)
  2. Build your vocabulary (word tokenization)
  3. Math with words (TF-IDF vectors)
  4. Finding meaning in word counts (semantic analysis)
  5. PART 2 - DEEPER LEARNING (NEURAL NETWORKS)

  6. Baby steps with neural networks (perceptrons and backpropagation)
  7. Reasoning with word vectors (Word2vec)
  8. Getting words in order with convolutional neural networks (CNNs)
  9. Loopy (recurrent) neural networks (RNNs)
  10. Improving retention with long short-term memory networks
  11. Sequence-to-sequence models and attention
  12. PART 3 - GETTING REAL (REAL-WORLD NLP CHALLENGES)

  13. Information extraction (named entity extraction and question answering)
  14. Getting chatty (dialog engines)
  15. Scaling up (optimization, parallelization, and batch processing)

Author Biography

Hobson Lane has more than 15 years of experience building autonomous systems that make important decisions on behalf of humans.

Hannes Hapke is an Electrical Engineer turned Data Scientist with experience in deep learning.

Cole Howard is a carpenter and writer turned Deep Learning expert.

Supplemental Materials

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

Rewards Program