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
Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow - Aurelien Geron
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Deep Learning and Neural Networks - Jeff Heaton
Deep Learning with Python - Francois Cholletf
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Neural Networks and Deep Learning - Charu C.Aggarwal
Python Artificial Intelligence Project for Beginners - Joshua Eckroth
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Amazon Machine Learning Developer Guild Version Latest
An introduction to neural networks - Kevin Gurney & University of Sheffield
Medical Image Segmentation Using Artificial Neural Networks
Java Deep Learning Essentials - Yusuke Sugomori
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Machine Learning with Python for everyone - Mark E.Fenner
Introduction to the Math of Neural Networks - Jeff Heaton
Intelligent Projects Using Python - Santanu Pattanayak
Introduction to Deep Learning - Eugene Charniak
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Python Machine Learning - Sebastian Raschka
Python Machine Learning Eqution Reference - Sebastian Raschka
Deep Learning with Theano - Christopher Bourez
Data Science and Big Data Analytics - EMC Education Services
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Neural Networks - A visual introduction for beginners - Michael Taylor
Superintelligence - Paths, Danges, Strategies - Nick Bostrom
