Introduction

Mark Hoogendoorn; Burkhardt Funk

doi:10.1007/978-3-319-66308-1_1

Introduction

Mark Hoogendoorn^*, Burkhardt Funk

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Chapter › Academic › peer-review

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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 language	English
Title of host publication	Machine Learning for the Quantified Self
Subtitle of host publication	On the Art of Learning from Sensory Data
Publisher	Springer/Verlag
Pages	1-12
Number of pages	12
ISBN (Electronic)	9783319663081
ISBN (Print)	9783319663074, 9783319882154
DOIs	https://doi.org/10.1007/978-3-319-66308-1_1
Publication status	Published - 2018

Publication series

Name	Cognitive Systems Monographs
Volume	35
ISSN (Print)	1867-4925
ISSN (Electronic)	1867-4933

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-319-66308-1_1

Hoogendoom and Funk_IntroductionFinal published version, 376 KBLicence: Article 25fa Dutch Copyright Act

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Introduction

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