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
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Learn Keras for Deep Neural Networks - Jojo Moolayil
Deep Learning for Natural Language Processing - Jason Brownlee
Deep Learning with Theano - Christopher Bourez
Learning scikit-learn Machine Learning in Python - Raul Garreta & Guillermo Moncecchi
Data Science and Big Data Analytics - EMC Education Services
Python Data Analytics with Pandas, NumPy and Matplotlib - Fabio Nelli
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Statistical Methods for Machine Learning - Disconver how to Transform data into Knowledge with Pytho...
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning and Neural Networks - Jeff Heaton
Python Machine Learning Second Edition - Sebastian Raschka & Vahid Mirjalili
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Introduction to the Math of Neural Networks - Jeff Heaton
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Machine Learning with spark and python - Michael Bowles
Amazon Machine Learning Developer Guild Version Latest
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Python Machine Learning - Sebastian Raschka
Python Data Structures and Algorithms - Benjamin Baka
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Artificial Intelligence by example - Denis Rothman
Python Deep Learning Cookbook - Indra den Bakker
