Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems | Agenda Bookshop Skip to content
Selected Colleen Hoover Books at €9.99c | In-store & Online
Selected Colleen Hoover Books at €9.99c | In-store & Online
A01=Anuj Gupta
A01=Bodhisattwa Majumder
A01=Harshit Surana
A01=Sowmya Vajjala
Age Group_Uncategorized
Age Group_Uncategorized
Author_Anuj Gupta
Author_Bodhisattwa Majumder
Author_Harshit Surana
Author_Sowmya Vajjala
automatic-update
Category1=Non-Fiction
Category=UYQL
COP=United States
Delivery_Delivery within 10-20 working days
Inc
Language_English
PA=Available
Price_€50 to €100
PS=Active
softlaunch
USA

Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems

4.11 (36 ratings by Goodreads)
Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. Youll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, youll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leaders perspective See more
Current price €69.29
Original price €76.99
Save 10%
A01=Anuj GuptaA01=Bodhisattwa MajumderA01=Harshit SuranaA01=Sowmya VajjalaAge Group_UncategorizedAuthor_Anuj GuptaAuthor_Bodhisattwa MajumderAuthor_Harshit SuranaAuthor_Sowmya Vajjalaautomatic-updateCategory1=Non-FictionCategory=UYQLCOP=United StatesDelivery_Delivery within 10-20 working daysIncLanguage_EnglishPA=AvailablePrice_€50 to €100PS=ActivesoftlaunchUSA
Delivery/Collection within 10-20 working days
Product Details
  • Dimensions: 178 x 233mm
  • Publication Date: 30 Jun 2020
  • Publisher: O'Reilly Media
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781492054054

About Anuj GuptaBodhisattwa MajumderHarshit SuranaSowmya Vajjala

Sowmya Vajjala has a PhD in Computational Linguistics from University of Tubingen Germany. She currently works as a research officer at National Research Council Canada's largest federal research and development organization. Her past work experience spans both academia as a faculty at Iowa State University USA as well as industry at Microsoft Research and The Globe and Mail. Bodhisattwa Majumder is a doctoral candidate in NLP and ML at UC San Diego. Earlier he studied at IIT Kharagpur where he graduated summa cum laude. Previously he built large-scale NLP systems at Google AI Research and Microsoft Research which went into products serving millions of users. Currently he is also leading his university team in the Amazon Alexa Prize for 2019-2020. Anuj Gupta has built NLP and ML systems at Fortune 100 companies as well as startups as a senior leader. He has incubated and led multiple ML teams in his career. He studied computer science at IIT Delhi and IIIT Hyderabad. He is currently Head of Machine Learning and Data Science at Vahan Inc. Above all he is a father and husband. Harshit Surana is founder at DeepFlux Inc. He has built and scaled ML systems at several Silicon Valley startups as a founder and an advisor. He studied computer science at Carnegie Mellon University where he worked with the MIT Media Lab on common sense AI. His research in NLP has received over 200 citations.

Customer Reviews

No reviews yet
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept