$94.49
Author: Vajjala Sowmya
Brand: O’Reilly Media
Edition: 1
Number Of Pages: 454
Details: From the Author
We wrote the book for: A software engineer or a data scientist who needs to build real-world NLP systems A machine learning engineer who has to iterate and scale NLP systems A product manager who needs to understand NLP and how it can be applied to their domain A business leader who wants to start a new venture based on NLP or incorporate the cutting edge of NLP in existing productsPlease note that readers pursuing cutting-edge research in NLP may find some sections of the book rudimentary as we do not cover in-depth theoretical and technical details related to NLP concepts. Moreover, we expect the readers to follow the respective documentations for various frameworks we use in our code examples.
Product Description
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. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail.
With this book, you’ll: 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 leader’s perspective
Review
This book is ideal both as a first resource to discover the field of natural language processing and a guide for seasoned practitioners looking to discover the latest developments in this exciting area.
– Julian McAuley, Professor, UC San Diego
Practical NLP focuses squarely on an overlooked demographic: the practitioners and business leaders in industry!
– Zachary Lipton, Scientist at Amazon AI, Author of Dive into Deep Learning, Professor, Carnegie Mellon University
This book does a great job bridging the gap between natural language processing research and practical applications.
– Sebastian Ruder Scientist, Google DeepMind, Author of newsletter NLP News
This book offers the best of both worlds: textbooks and ‘cookbooks’. If you would like to go from zero to one in NLP, this book is for you!
– Marc Najork, Director, Google AI, ACM & IEEE Fellow
This book is a must for all aspiring NLP engineers, entrepreneurs who want to build companies around language technologies.
– Monojit Choudhury, Principal Researcher, Microsoft, Faculty at IIT Kharagpur
There is much hard-fought practical advice from the trenches. A must-read for engineers building NLP applications.
– Vinayak Hegde, CTO-in-Residence, Microsoft For Startups
I feel this is not only an essential book for NLP practitioners, it is also a valuable reference for the research community.
– Mengting Wan, Data Scientist at Airbnb, Microsoft Research Fellow
The authors achieved a rare feat by simplifying the esoteric art of design and architecture of production quality ML systems.
– Siddharth Sharma, ML Engineer, Facebook
This book gives a consolidated look at modern practice, starting from an MVP and building up to examples for sophisticated use cases.
– Ed Harris, CEO and co-founder at SharpestMinds (YC W18)
From the Inside Flap
THE PHILOSOPHY
We want to provide a holistic, yet, practical perspective which enables th
Release Date: 21-07-2020
Package Dimensions: 22x232x750
