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 - An Algorithmic Perspective second edition - Stephen Marsland
Machine Learning with Python for everyone - Mark E.Fenner
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Data Science and Big Data Analytics - EMC Education Services
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Fundamentals of Deep Learning - Nikhil Bubuma
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Deep Learning and Neural Networks - Jeff Heaton
Deep Learning with Python - Francois Chollet
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Amazon Machine Learning Developer Guild Version Latest
Intelligent Projects Using Python - Santanu Pattanayak
An introduction to neural networks - Kevin Gurney & University of Sheffield
Deep Learning with Hadoop - Dipayan Dev
Medical Image Segmentation Using Artificial Neural Networks
R Deep Learning Essentials - Dr. Joshua F.Wiley
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Java Deep Learning Essentials - Yusuke Sugomori
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Deep Learning with Python - Francois Cholletf
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Introduction to the Math of Neural Networks - Jeff Heaton
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Python Machine Learning - Sebastian Raschka