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
Java Deep Learning Essentials - Yusuke Sugomori
Artificial Intelligence by example - Denis Rothman
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Deep Learning with Python - Francois Chollet
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Intelligent Projects Using Python - Santanu Pattanayak
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Deep Learning with Hadoop - Dipayan Dev
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Scikit-learn Cookbook Second Edition over 80 recipes for machine learning - Julian Avila & Trent Hau...
Python Deep Learning Cookbook - Indra den Bakker
Machine Learning with spark and python - Michael Bowles
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Coding Theory - Algorithms, Architectures and Application
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Artificial Intelligence - 101 things you must know today about our future - Lasse Rouhiainen
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Python Machine Learning - Sebastian Raschka
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Learn Keras for Deep Neural Networks - Jojo Moolayil
Machine Learning with Python for everyone - Mark E.Fenner
Deep Learning for Natural Language Processing - Jason Brownlee
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Python Data Structures and Algorithms - Benjamin Baka