Natural Language Processing in action – Hobson Lane & Cole Howard & Hannes Max Hapke

Natural Language Processing in Action is a practical guide to processing and generating natural language text in the real world. In this book we provide you with all the tools and techniques you need to build the backend NLP systems to support a virtual assistant (chatbot), spam filter, forum moderator, sentiment analyzer, knowledge base builder, natural language text miner, or nearly any other NLP application you can imagine.
Natural Language Processing in Action is aimed at intermediate to advanced Python developers. Readers already capable of designing and building complex systems will also find most of this book useful, since it provides numerous best-practice examples and insight into the capabilities of state-of-the art NLP algorithms. While knowledge of object-oriented Python development may help you build better systems, it’s not required to use what you learn in this book. For special topics, we provide sufficient background material and cite resources (both text and online) for those who want to gain an in-depth understanding.

Related posts:

Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Deep Learning with Hadoop - Dipayan Dev
The hundred-page Machine Learning Book - Andriy Burkov
Medical Image Segmentation Using Artificial Neural Networks
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Deep Learning for Natural Language Processing - Jason Brownlee
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Deep Learning in Python - LazyProgrammer
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Introduction to Scientific Programming with Python - Joakim Sundnes
An introduction to neural networks - Kevin Gurney & University of Sheffield
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Fundamentals of Deep Learning - Nikhil Bubuma
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Machine Learning with Python for everyone - Mark E.Fenner
Neural Networks - A visual introduction for beginners - Michael Taylor
Coding Theory - Algorithms, Architectures and Application
Java Deep Learning Essentials - Yusuke Sugomori