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  • Deep Learning with Text: Natural Language Processing (Almost) from Scratch with Python and spaCy

    Deep Learning with Text by Harrison, Patrick; Honnibal, Matthew;

    Natural Language Processing (Almost) from Scratch with Python and spaCy

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      • Publisher's listprice GBP 47.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        24 287 Ft (23 131 Ft + 5% VAT)
      • Discount 10% (cc. 2 429 Ft off)
      • Discounted price 21 859 Ft (20 818 Ft + 5% VAT)

    24 287 Ft

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    Product details:

    • Edition number 1
    • Publisher O'Reilly Media
    • Date of Publication 31 January 2020
    • Number of Volumes Print PDF

    • ISBN 9781491984413
    • Binding Paperback
    • No. of pages250 pages
    • Size 233x177 mm
    • Weight 666 g
    • Language English
    • 67

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    Long description:

    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&&&8217;s guide that will help you learn how the neural networks that power modern natural language processing techniques work "under the hood." You&&&8217;ll find examples using "batteries-included" libraries in Python&&&8212;including spaCy, gensim, and others&&&8212;for applying this modern, deep learning approach to solve real-world problems with natural language text.

    Until now, much of the published material about deep learning has been sequestered in research papers and graduate-level academic textbooks. This practical book will enable software developers and data scientists to build new products and systems that have only become possible in the past couple of years.

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