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 with PyTorch - Vishnu Subramanian
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Python Deep Learning Cookbook - Indra den Bakker
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Deep Learning in Python - LazyProgrammer
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Deep Learning with Python - Francois Cholletf
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Introduction to the Math of Neural Networks - Jeff Heaton
Python Machine Learning - Sebastian Raschka
Deep Learning with Theano - Christopher Bourez
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Deep Learning and Neural Networks - Jeff Heaton
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Deep Learning with Keras - Antonio Gulli & Sujit Pal
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
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
The hundred-page Machine Learning Book - Andriy Burkov
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel