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.
Natural Language Processing in action – Hobson Lane & Cole Howard & Hannes Max Hapke
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning with Hadoop - Dipayan Dev
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Deep Learning with Python - Francois Cholletf
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Deep Learning and Neural Networks - Jeff Heaton
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Deep Learning with Theano - Christopher Bourez
An introduction to neural networks - Kevin Gurney & University of Sheffield
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Python Deep Learning Cookbook - Indra den Bakker
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Python Machine Learning Eqution Reference - Sebastian Raschka
Artificial Intelligence by example - Denis Rothman
Machine Learning with spark and python - Michael Bowles
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Deep Learning in Python - LazyProgrammer
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Java Deep Learning Essentials - Yusuke Sugomori
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson