Machine Learning for the Quantified Self : On the Art of Learning from Sensory Data

Language: English

Published by Springer, 2018

3319882155 / 9783319882154

Series: Book 22 of 31 - Cognitive Systems Monographs

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783319882154

Title
Machine Learning for the Quantified Self : On the Art of Learning from Sensory Data
Author
Burkhardt Funk
Publisher
Springer
Publication year
2018
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3319882155
ISBN 13
9783319882154
Item weight
382 grams
Dimensions
235x155x14 mm
Series
Book 22 of 31: Cognitive Systems Monographs

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item7 to 10 business days5 to 7 business days
First item£ 30.03£ 38.61
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Einbeck, Germany 37574