Overview
- Presents a unique overview of dedicated machine learning techniques for sensor data
- Features hands-on exercises, including those related to mobile app development
- Illustrates the techniques by means of examples to make them more easily understandable
- Includes supplementary material: sn.pub/extras
Part of the book series: Cognitive Systems Monographs (COSMOS, volume 35)
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Table of contents(10 chapters)
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Sensory Data and Features
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Learning Based on Sensory Data
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Discussion
About this book
Authors and Affiliations
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Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
Mark Hoogendoorn
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Institut für Wirtschaftsinformatik, Leuphana Universität Lüneburg, Lüneburg, Germany
Burkhardt Funk
Bibliographic Information
Book Title: Machine Learning for the Quantified Self
Book Subtitle: On the Art of Learning from Sensory Data
Authors: Mark Hoogendoorn, Burkhardt Funk
Series Title: Cognitive Systems Monographs
DOI: https://doi.org/10.1007/978-3-319-66308-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-66307-4Published: 05 October 2017
Softcover ISBN: 978-3-319-88215-4Published: 15 August 2018
eBook ISBN: 978-3-319-66308-1Published: 28 September 2017
Series ISSN: 1867-4925
Series E-ISSN: 1867-4933
Edition Number: 1
Number of Pages: XV, 231
Number of Illustrations: 17 b/w illustrations, 72 illustrations in colour