Introduction

Mark Hoogendoorn, Burkhardt Funk

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review

Abstract

This chapter provides a basic introduction into the two domains that are pivotal in this book: the quantified self and machine learning. It explains the need and purpose of the book and introduces the basic definitions and notations. On top of that, an overview of the book is given and a reader’s guide is provided.

Original languageEnglish
Title of host publicationMachine Learning for the Quantified Self
Subtitle of host publicationOn the Art of Learning from Sensory Data
PublisherSpringer/Verlag
Pages1-12
Number of pages12
Volume35
ISBN (Electronic)9783319663081
ISBN (Print)9783319663074
DOIs
Publication statusE-pub ahead of print - 27 Sep 2017

Publication series

NameCognitive Systems Monographs
Volume35
ISSN (Print)1867-4925
ISSN (Electronic)1867-4933

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Learning systems

Cite this

Hoogendoorn, M., & Funk, B. (2017). Introduction. In Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data (Vol. 35, pp. 1-12). (Cognitive Systems Monographs; Vol. 35). Springer/Verlag. https://doi.org/10.1007/978-3-319-66308-1_1
Hoogendoorn, Mark ; Funk, Burkhardt. / Introduction. Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data. Vol. 35 Springer/Verlag, 2017. pp. 1-12 (Cognitive Systems Monographs).
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Hoogendoorn, M & Funk, B 2017, Introduction. in Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data. vol. 35, Cognitive Systems Monographs, vol. 35, Springer/Verlag, pp. 1-12. https://doi.org/10.1007/978-3-319-66308-1_1

Introduction. / Hoogendoorn, Mark; Funk, Burkhardt.

Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data. Vol. 35 Springer/Verlag, 2017. p. 1-12 (Cognitive Systems Monographs; Vol. 35).

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review

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Hoogendoorn M, Funk B. Introduction. In Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data. Vol. 35. Springer/Verlag. 2017. p. 1-12. (Cognitive Systems Monographs). https://doi.org/10.1007/978-3-319-66308-1_1