國立虎尾科技大學 |

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Machine Learning for the Quantified Self/ by Mark Hoogendoorn, Burkhardt Funk.
其他題名:	On the Art of Learning from Sensory Data /
作者:	Hoogendoorn, Mark.
其他作者:	Funk, Burkhardt.
面頁冊數:	XV, 231 p. 89 illus., 72 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-3-319-66308-1
ISBN:	9783319663081

Machine Learning for the Quantified Self = On the Art of Learning from Sensory Data /
Hoogendoorn, Mark.

Machine Learning for the Quantified SelfOn the Art of Learning from Sensory Data /[electronic resource] :by Mark Hoogendoorn, Burkhardt Funk. - 1st ed. 2018. - XV, 231 p. 89 illus., 72 illus. in color.online resource. - Cognitive Systems Monographs,351867-4925 ;. - Cognitive Systems Monographs,26.

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 techniques that can help out: machine-learning approaches allow this type of data to be analyzed. While there are sample 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.

ISBN: 9783319663081

Standard No.: 10.1007/978-3-319-66308-1doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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