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

19 Downloads (Pure)

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

UN SDGs

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

SDG 4 Quality Education

Access to Document

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

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

Persistent URL (handle)

Persistent link

Cite this

@inbook{56ca689820484504949785af4f65309e,

title = "Introduction",

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{\textquoteright}s guide is provided.",

author = "Mark Hoogendoorn and Burkhardt Funk",

year = "2018",

doi = "10.1007/978-3-319-66308-1\_1",

language = "English",

isbn = "9783319663074",

series = "Cognitive Systems Monographs",

publisher = "Springer/Verlag",

pages = "1--12",

booktitle = "Machine Learning for the Quantified Self",

}

TY - CHAP

T1 - Introduction

AU - Hoogendoorn, Mark

AU - Funk, Burkhardt

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85030685562

UR - https://www.scopus.com/pages/publications/85030685562#tab=citedBy

U2 - 10.1007/978-3-319-66308-1_1

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

M3 - Chapter

AN - SCOPUS:85030685562

SN - 9783319663074

SN - 9783319882154

T3 - Cognitive Systems Monographs

SP - 1

EP - 12

BT - Machine Learning for the Quantified Self

PB - Springer/Verlag

ER -

Introduction

Abstract

Publication series

UN SDGs

Access to Document

Persistent URL (handle)

Other files and links

Fingerprint

Cite this