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Natural Language Processing in Action: Understanding, analyzing, and generating text with Python Paperback – Illustrated, 14 April 2019

by Hapke Hannes (Author), Howard Cole (Author), Lane Hobson (Author)
4.4 4.4 out of 5 stars 121 ratings
Edition: 1st
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Description

Modern NLP techniques based on machine learning radically improve the ability of software to recognize patterns, use context to infer meaning, and accurately discern intent from poorly-structured text. In Natural Language Processing in Action, readers explore carefully chosen examples and expand their machine's knowledge which they can then apply to a range of challenges.

Key Features

• Easy-to-follow

• Clear examples

• Hands-on-guide

Audience

A basic understanding of machine learning and some experience with a modern programming language such as Python, Java, C++, or

JavaScript will be helpful.

About the technology

Natural Language Processing (NLP) is the discipline of teaching computers to read more like people, and readers can see examples of it in everything from chatbots to the speech-recognition software on their phone.

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.

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  1. ISBN-10
    1617294632
  2. ISBN-13
    978-1617294631
  3. Edition
    1st
  4. Publisher
    Manning Publications
  5. Publication date
    14 April 2019
  6. Language
    English
  7. Dimensions
    18.75 x 2.54 x 23.5 cm
  8. Print length
    544 pages
  9. See all details
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Product description

About the Author

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.

Product details

  • Publisher ‏ : ‎ Manning Publications; 1st edition (14 April 2019)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 544 pages
  • ISBN-10 ‏ : ‎ 1617294632
  • ISBN-13 ‏ : ‎ 978-1617294631
  • Dimensions ‏ : ‎ 18.75 x 2.54 x 23.5 cm
  • Customer Reviews:
    4.4 4.4 out of 5 stars 121 ratings

About the authors

Follow authors to get new release updates, plus improved recommendations.
Previous page
  1. Hobson Lane

    Hobson Lane

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    Full content visible, double tap to read brief content.

    Hobson Lane is a machine learning engineer with a passion for teaching and writing. So it's no surprise that his first book teaches how to "compile" natural language into software that machines can execute. Hobson has been building control systems for 30 years, from offroad self-driving cars (TerraHawk) to spacefaring robots (NASA's AWIMR project and NGST's Formation Flying laboratory). Hobson's true passion is for robots that can communicate in natural language (English). His answer to the rise of antisocial chatbots is to build and train prosocial virtual assistants. He's on a mission to teach the world how to build chatbots that actually assist us rather than manipulate us. He built the first "visual interpreter for the blind" at Aira, and is now helping architect a cognitive assistant for medical providers at Manceps as well as a safety-monitoring smart camera for DeepCanopy. A how-to book on building cognitive assistants won't be far behind.

    See more on the author's page
  2. Hannes Hapke

    Hannes Hapke

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    Full content visible, double tap to read brief content.

    Hannes is a Senior Machine Learning Engineer at SAP Concur where he focuses on ML Infrastructure and Natural Language Processing projects. Hannes is a Google Developer Expert for Machine Learning and a co-author of machine learning publications like NLP in Action

    and the O'Reilly publication on Building Machine Learning Pipelines with TensorFlow.

    See more on the author's page
  3. Cole Howard

    Cole Howard

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    Full content visible, double tap to read brief content.

    Discover more of the author’s books, see similar authors, read author blogs, and more

    See more on the author's page
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Kiran Kumar
5.0 out of 5 stars NLPIA
Reviewed in India on 5 July 2023
Verified Purchase
I liked the structure of the book. Looking forward for the next edition of this book. I would urge to include transformers and large language models in the next edition.
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John E. Miller
5.0 out of 5 stars Great coverage of NLP methods in Chatbot vehicle.
Reviewed in the United States on 16 August 2019
Verified Purchase
I have studied NLP/CL methods individually, but had never put it altogether in a single applied product/package. This book ties many of the methods/tools together into a viable application package. I may never write a chatbot for actual use, but this 'vehicle' helps me connect the dots of many individual NLP tools... each of which are a study in their own right. Good job.
8 people found this helpful
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Franz
5.0 out of 5 stars Great review, and very enjoyable to read!
Reviewed in the United Kingdom on 30 September 2020
Verified Purchase
I read this textbook almost cover to cover (which is very rare with technical textbooks) as it was very well written and enjoyable to read. I feel like I have gotten a very good understanding of the challenges and subtleties of natural language processing (and I know where to look if I need more details about a specific thing). The tutorials/code examples are also very clear and helpful - it helps a lot to code along when you read and experiment!

This is my second Manning textbook (after Deep Learning with Python by Francois Chollet), and I definitely love this publishing house: textbooks written in conversational English (so it's great to read) with a reasonable depth and precision in explanations. Another bonus is that I absolutely love the covers artworks!
One person found this helpful
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Sante
5.0 out of 5 stars Descriptive and very well organized
Reviewed in Italy on 17 February 2020
Verified Purchase
It took me quite some time to research the topic and identify a book best fit for my needs. As someone who works and is seeking immediate application of knowledge. This book is so far one of the best I have purchased over the past 2 years since I started my Python adventure and opening up windows on the universe of data science and machine learning. The explanations are enlightening, the code well commented. I haven't gone too far yet but I can already see where the book is leading me and must say studying this book has brought me back to my youth when I studied with passion - very well done!
One person found this helpful
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Hiran Dissanayake
5.0 out of 5 stars Love it..
Reviewed in Germany on 31 January 2020
Verified Purchase
I am ML engineer and this helps a lot when it comes to developing products..
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