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
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Deep Learning in Python - LazyProgrammer
Introduction to Scientific Programming with Python - Joakim Sundnes
Python Machine Learning - Sebastian Raschka
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Machine Learning with spark and python - Michael Bowles
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Deep Learning for Natural Language Processing - Jason Brownlee
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Data Science and Big Data Analytics - EMC Education Services
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Deep Learning with Python - Francois Chollet
Deep Learning with Hadoop - Dipayan Dev
Intelligent Projects Using Python - Santanu Pattanayak
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Deep Learning with Python - Francois Cholletf
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Learn Keras for Deep Neural Networks - Jojo Moolayil
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning and Neural Networks - Jeff Heaton
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Python Machine Learning Eqution Reference - Sebastian Raschka