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020 _a9783319663081
_9978-3-319-66308-1
024 7 _a10.1007/978-3-319-66308-1
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aHoogendoorn, Mark.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_954387
245 1 0 _aMachine Learning for the Quantified Self
_h[electronic resource] :
_bOn the Art of Learning from Sensory Data /
_cby Mark Hoogendoorn, Burkhardt Funk.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXV, 231 p. 89 illus., 72 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aCognitive Systems Monographs,
_x1867-4933 ;
_v35
520 _aThis 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.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
700 1 _aFunk, Burkhardt.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_954388
710 2 _aSpringerLink (Online service)
_954389
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319663074
776 0 8 _iPrinted edition:
_z9783319663098
776 0 8 _iPrinted edition:
_z9783319882154
830 0 _aCognitive Systems Monographs,
_x1867-4933 ;
_v35
_954390
856 4 0 _uhttps://doi.org/10.1007/978-3-319-66308-1
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79347
_d79347