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:

Learn Keras for Deep Neural Networks - Jojo Moolayil
Amazon Machine Learning Developer Guild Version Latest
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Coding Theory - Algorithms, Architectures and Application
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Deep Learning with Python - Francois Chollet
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Machine Learning with spark and python - Michael Bowles
Neural Networks - A visual introduction for beginners - Michael Taylor
R Deep Learning Essentials - Dr. Joshua F.Wiley
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Medical Image Segmentation Using Artificial Neural Networks
Deep Learning with Python - Francois Cholletf
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Python Deep Learning Cookbook - Indra den Bakker
Java Deep Learning Essentials - Yusuke Sugomori
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Deep Learning with PyTorch - Vishnu Subramanian
Pattern recognition and machine learning - Christopher M.Bishop
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Python Data Structures and Algorithms - Benjamin Baka