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
Machine Learning with Python for everyone - Mark E.Fenner
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Deep Learning with Hadoop - Dipayan Dev
Coding Theory - Algorithms, Architectures and Application
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
The hundred-page Machine Learning Book - Andriy Burkov
Intelligent Projects Using Python - Santanu Pattanayak
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
Python Deep Learning Cookbook - Indra den Bakker
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Learn Keras for Deep Neural Networks - Jojo Moolayil
Java Deep Learning Essentials - Yusuke Sugomori
Deep Learning for Natural Language Processing - Jason Brownlee
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Data Science and Big Data Analytics - EMC Education Services
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
R Deep Learning Essentials - Dr. Joshua F.Wiley
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Fundamentals of Deep Learning - Nikhil Bubuma
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning in Python - LazyProgrammer
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Deep Learning with Python - Francois Chollet
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Grokking Deep Learning - MEAP v10 - Andrew W.Trask