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
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Deep Learning with PyTorch - Vishnu Subramanian
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Machine Learning with Python for everyone - Mark E.Fenner
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Introduction to Scientific Programming with Python - Joakim Sundnes
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Deep Learning with Python - Francois Cholletf
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Deep Learning with Hadoop - Dipayan Dev
Data Science and Big Data Analytics - EMC Education Services
Introduction to Deep Learning - Eugene Charniak
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Java Deep Learning Essentials - Yusuke Sugomori
Deep Learning dummies first edition - John Paul Mueller & Luca Massaron
Amazon Machine Learning Developer Guild Version Latest
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Python Deep Learning Cookbook - Indra den Bakker
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
The hundred-page Machine Learning Book - Andriy Burkov