logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Natural Language Processing Fundamentals for Developers by Oswald Campesato ISBN 9781683926573, 1683926579, 2021939603

  • SKU: EBN-33791682
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

5.0

19 reviews
Instant download (eBook) Natural Language Processing Fundamentals for Developers after payment.
Authors:Oswald Campesato
Pages:364 pages.
Year:2021
Editon:1
Publisher:Mercury Learning and Information
Language:english
File Size:5.33 MB
Format:pdf
ISBNS:9781683926573, 1683926579, 2021939603
Categories: Ebooks

Product desciption

(Ebook) Natural Language Processing Fundamentals for Developers by Oswald Campesato ISBN 9781683926573, 1683926579, 2021939603

This book is for developers who are looking for an overview of basic concepts in Natural Language Processing. It casts a wide net of techniques to help developers who have a range of technical backgrounds. Numerous code samples and listings are included to support myriad topics. The first chapter shows you various details of managing data that are relevant for NLP. The next pair of chapters contain NLP concepts, followed by another pair of chapters with Python code samples to illustrate those NLP concepts. Chapter 6 explores applications, e.g., sentiment analysis, recommender systems, COVID-19 analysis, spam detection, and a short discussion regarding chatbots. The final chapter presents the Transformer architecture, BERT-based models, and the GPT family of models, all of which were developed during the past three years and considered SOTA (“state of the art”). The appendices contain introductory material (including Python code samples) on regular expressions and probability/statistical concepts. Companion files with source code and figures are included.FEATURES:Covers extensive topics related to natural language processingIncludes separate appendices on regular expressions and probability/statisticsFeatures companion files with source code and figures from the book.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products