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Computer Science - 144 - Page 2 - Huge Savings! Save up to 16%

Huge Savings! Up to 16% off on Computer Science at Translate This Website, Page 2. Top brands include Apress, Brand: MIT Press, O'Reilly Media, Morgan & Claypool Publishers, Pearson, & Daniel Jurafsky. Hurry! Limited time offers. Offers valid only while supplies last.

Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing
By Apress
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ean: 9781484237328, isbn: 9781484237328,

4.0 out of 5 stars with 266 reviews
Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms. Applied Natural Language Processing with Python starts with reviewing the necessary machine learning concepts before moving onto discussing various NLP problems. After

Essentials of Programming Languages - 2nd Edition
By Brand: MIT Press
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ean: 9780262062176, isbn: 9780262062176,

4.5 out of 5 stars with 247 reviews
This textbook offers a deep understanding of the essential concepts of programming languages. The approach is analytic and hands-on. The text uses interpreters, written in Scheme, to express the semantics of many essential language elements in a way that is both clear and directly executable. It also examines some important program analyses. Extensive exercises explore many design and implementation alternatives..

Deep Learning with Text: Natural Language Processing (Almost) from Scratch with Python and spaCy
By O'Reilly Media
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ean: 9781491984413, isbn: 1491984414,

4.5 out of 5 stars with 42 reviews
The advent of deep learning has been transformative for many difficult problems in machine learning, often delivering breakthrough performance compared with previous techniques. This paradigm shift has swept over the field of natural language processing, where an emerging deep learning approach has set the state-of-the-art in text categorization, information extraction, recommendations, and more.Deep Learning with Text is a practitioner’s guide that will help you learn how the neural networks

Natural Language Processing for the Semantic Web (Synthesis Lectures on the Semantic Web: Theory and Technolog)
By Morgan & Claypool Publishers
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ean: 9781627059091, isbn: 1627059091,

4.6 out of 5 stars with 57 reviews
This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two technologies enables structured and unstructured data to merge seamlessly.

Natural Language Understanding (2nd Edition)
By Pearson
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ean: 9780805303346, isbn: 0805303340,

4.3 out of 5 stars with 34 reviews
From a leading authority in artificial intelligence, this book delivers a synthesis of the major modern techniques and the most current research in natural language processing. The approach is unique in its coverage of semantic interpretation and discourse alongside the foundational material in syntactic processing..

Speech and Language Processing, 2nd Edition
By Daniel Jurafsky
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mpn: ill, ean: 9780131873216, isbn: 0131873210,

4.7 out of 5 stars with 28 reviews
For undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing.   An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology – at all levels and

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