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Most popular at the top
- Cambridge University Press 2016; US$ 56.00
Using a flexible software system, this book teaches evidential and inferential issues used in drawing conclusions from masses of evidence. more...
- O'Reilly Media 2016; US$ 42.99
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine... more...
- Packt Publishing 2016; US$ 69.99
Learn to build expert NLP and machine learning projects using NLTK and other Python libraries About This Book: Break text down into its component parts for spelling correction, feature extraction, and phrase transformation; Work through NLP concepts with simple and easy-to-follow programming recipes; Gain insights into the current and budding research... more...
- Morgan & Claypool Publishers 2016; US$ 60.00
This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing and Semantic Web technologies have different,... more...
- Packt Publishing 2017; US$ 35.99
Create intelligent apps with vision, speech, language, and knowledge capabilities using Microsoft Cognitive Services About This Book Explore the capabilities of all 21 APIs released as part of the Cognitive Services platform Build intelligent apps that combine the power of computer vision, speech recognition, and language processing Give your... more...
- Morgan & Claypool Publishers 2017; US$ 59.95
Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and... more...
- Springer Netherlands 2010; US$ 141.19
This collection of contributions from leading researchers in the field of natural language processing technology details their recent work which includes new techniques as well as results. It focuses on dependency parsing, domain adaptation, and deep parsing. more...
- O'Reilly Media 2012; US$ 42.99
If you?re an experienced programmer interested in crunching data, this book will get you started with machine learning?a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies,... more...