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
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning with PyTorch - Vishnu Subramanian
Fundamentals of Deep Learning - Nikhil Bubuma
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Introduction to Scientific Programming with Python - Joakim Sundnes
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Python Data Structures and Algorithms - Benjamin Baka
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Artificial Intelligence by example - Denis Rothman
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Deep Learning with Hadoop - Dipayan Dev
Deep Learning in Python - LazyProgrammer
Deep Learning with Python - Francois Chollet
Deep Learning for Natural Language Processing - Jason Brownlee
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Python Machine Learning Eqution Reference - Sebastian Raschka
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Deep Learning with Theano - Christopher Bourez
Intelligent Projects Using Python - Santanu Pattanayak