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
Amazon Machine Learning Developer Guild Version Latest
Python Machine Learning - Sebastian Raschka
Intelligent Projects Using Python - Santanu Pattanayak
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Pattern recognition and machine learning - Christopher M.Bishop
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Neural Networks and Deep Learning - Charu C.Aggarwal
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Deep Learning and Neural Networks - Jeff Heaton
Learn Keras for Deep Neural Networks - Jojo Moolayil
Neural Networks - A visual introduction for beginners - Michael Taylor
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Python for Programmers with introductory AI case studies - Paul Deitel & Harvey Deitel
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Python Deep Learning Cookbook - Indra den Bakker
Deep Learning with Python - Francois Chollet
Introduction to Scientific Programming with Python - Joakim Sundnes
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Python Data Structures and Algorithms - Benjamin Baka
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
