Catalog Search Results
Author
Publisher
Apress
Pub. Date
[2019]
Edition
Second edition.
Physical Desc
1 online resource
Language
English
Description
Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. The second edition of this book will show you how to use the latest state-of-the-art frameworks in NLP, coupled with Machine Learning and Deep Learning to solve real-world case studies leveraging the power of Python. This edition has gone through a major revamp introducing several major changes and new topics based...
Author
Publisher
Apress
Pub. Date
2018.
Physical Desc
1 online resource
Language
English
Description
Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build,...
Author
Publisher
Packt Publishing
Pub. Date
2018.
Physical Desc
1 online resource (1 volume) : illustrations
Language
English
Description
The purpose of this book is two-fold, we focus on detailed coverage of deep learning and transfer learning, comparing and contrasting the two with easy-to-follow concepts and examples. The second area of focus is on real-world examples and research problems using TensorFlow, Keras and Python ecosystem with hands-on examples.
Author
Publisher
Apress
Pub. Date
2016.
Physical Desc
1 online resource
Language
English
Description
Derive useful insights from your data using Python. Learn the techniques related to natural language processing and text analytics, and gain the skills to know which technique is best suited to solve a particular problem. Text Analytics with Python teaches you both basic and advanced concepts, including text and language syntax, structure, semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling,...
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