Happy holidays from us to you—get up to $30 off your next print or eBook! Shop now >>

Cognitive Systems Monographs

Machine Learning for the Quantified Self

On the Art of Learning from Sensory Data

Authors: Hoogendoorn, Mark, Funk, Burkhardt

  • 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
see more benefits

Buy this book

eBook £87.50
price for United Kingdom (gross)
  • ISBN 978-3-319-66308-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover £109.99
price for United Kingdom (gross)
  • ISBN 978-3-319-66307-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book explains the complete loop to effectively use self-tracking data for machine learning. While it focuses on self-tracking data, the techniques explained are also applicable to sensory data in general, making it useful for a wider audience. Discussing concepts drawn from from state-of-the-art scientific literature, it illustrates the approaches using a case study of a rich self-tracking data set. Self-tracking has become part of the modern lifestyle, and the amount of data generated by these devices is so overwhelming that it is difficult to obtain useful insights from it. Luckily, in the domain of artificial intelligence there are techniques that can help out: machine-learning approaches allow this type of data to be analyzed. While there are ample books that explain machine-learning techniques, self-tracking data comes with its own difficulties that require dedicated techniques such as learning over time and across users.

Table of contents (10 chapters)

  • Introduction

    Hoogendoorn, Mark (et al.)

    Pages 1-12

  • Basics of Sensory Data

    Hoogendoorn, Mark (et al.)

    Pages 15-24

  • Handling Noise and Missing Values in Sensory Data

    Hoogendoorn, Mark (et al.)

    Pages 25-50

  • Feature Engineering Based on Sensory Data

    Hoogendoorn, Mark (et al.)

    Pages 51-70

  • Clustering

    Hoogendoorn, Mark (et al.)

    Pages 73-100

Buy this book

eBook £87.50
price for United Kingdom (gross)
  • ISBN 978-3-319-66308-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover £109.99
price for United Kingdom (gross)
  • ISBN 978-3-319-66307-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Machine Learning for the Quantified Self
Book Subtitle
On the Art of Learning from Sensory Data
Authors
Series Title
Cognitive Systems Monographs
Series Volume
35
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-66308-1
DOI
10.1007/978-3-319-66308-1
Hardcover ISBN
978-3-319-66307-4
Series ISSN
1867-4925
Edition Number
1
Number of Pages
XV, 231
Number of Illustrations
17 b/w illustrations, 72 illustrations in colour
Topics