Machine Learning for the Quantified Self
On the Art of Learning from Sensory Data
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 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 techniq…
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Produktdetails
Weitere Autoren: Hoogendoorn, Mark
- ISBN: 978-3-319-66308-1
- EAN: 9783319663081
- Produktnummer: 24233702
- Verlag: Springer
- Sprache: Englisch
- Erscheinungsjahr: 2017
- Plattform: PDF
- Masse: 13'875 KB
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