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
Java Deep Learning Essentials - Yusuke Sugomori
Python Machine Learning - Sebastian Raschka
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
An introduction to neural networks - Kevin Gurney & University of Sheffield
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Deep Learning with Python - Francois Cholletf
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Introduction to Deep Learning Business Application for Developers - Armando Vieira & Bernardete Ribe...
Neural Networks and Deep Learning - Charu C.Aggarwal
Deep Learning for Natural Language Processing - Jason Brownlee
Amazon Machine Learning Developer Guild Version Latest
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Medical Image Segmentation Using Artificial Neural Networks
Introduction to the Math of Neural Networks - Jeff Heaton
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Deep Learning - Ian Goodfellow & Yoshua Bengio & Aaron Courville
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Python Data Structures and Algorithms - Benjamin Baka
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Deep Learning in Python - LazyProgrammer
Learn Keras for Deep Neural Networks - Jojo Moolayil
Deep Learning with Python - Francois Chollet
Grokking Deep Learning - MEAP v10 - Andrew W.Trask
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
R Deep Learning Essentials - Dr. Joshua F.Wiley
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning with Theano - Christopher Bourez