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
Introduction to Scientific Programming with Python - Joakim Sundnes
Learn Keras for Deep Neural Networks - Jojo Moolayil
Deep Learning with Theano - Christopher Bourez
Python Deep Learning Cookbook - Indra den Bakker
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
The hundred-page Machine Learning Book - Andriy Burkov
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Deep Learning with PyTorch - Vishnu Subramanian
Machine Learning with spark and python - Michael Bowles
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Intelligent Projects Using Python - Santanu Pattanayak
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Java Deep Learning Essentials - Yusuke Sugomori
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Python Machine Learning Eqution Reference - Sebastian Raschka
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Introduction to Deep Learning - Eugene Charniak
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Coding Theory - Algorithms, Architectures and Application
Python Machine Learning - Sebastian Raschka
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali