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Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data (Cognitive Systems Monographs)100%: Burkhardt Funk, Mark Hoogendoorn: Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data (Cognitive Systems Monographs) (ISBN: 9783319663081) 2017, Erstausgabe, in Englisch, auch als eBook.
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Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data (Cognitive Systems Monographs)82%: Mark Hoogendoorn, Burkhardt Funk: Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data (Cognitive Systems Monographs) (ISBN: 9783319663074) 2017, Springer-Verlag Gmbh, Erstausgabe, in Englisch, Broschiert.
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Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data (Cognitive Systems Monographs)
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Bester Preis: Fr. 5.45 ( 5.55)¹ (vom 12.09.2019)
1
9783319663081 - Mark Hoogendoorn; Burkhardt Funk: Machine Learning for the Quantified Self
Mark Hoogendoorn; Burkhardt Funk

Machine Learning for the Quantified Self

Lieferung erfolgt aus/von: Mexiko ~EN NW EB DL

ISBN: 9783319663081 bzw. 3319663089, vermutlich in Englisch, Springer Shop, neu, E-Book, elektronischer Download.

Fr. 5.45 ($ 119)¹
unverbindlich
Lieferung aus: Mexiko, Lagernd, zzgl. Versandkosten.
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 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 ample 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. eBook.
2
9783319663074 - Mark Hoogendoorn: Machine Learning for the Quantified Self - On the Art of Learning from Sensory Data
Mark Hoogendoorn

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

Lieferung erfolgt aus/von: Deutschland DE HC NW

ISBN: 9783319663074 bzw. 3319663070, in Deutsch, Springer-Verlag Gmbh, gebundenes Buch, neu.

Fr. 83.97 ( 85.59)¹
versandkostenfrei, unverbindlich
Lieferung aus: Deutschland, Versandkostenfrei.
Machine Learning for the Quantified Self: 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 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 ample 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. Englisch, Buch.
3
9783319663081 - Burkhardt Funk, Mark Hoogendoorn: Machine Learning for the Quantified Self
Burkhardt Funk, Mark Hoogendoorn

Machine Learning for the Quantified Self (2017)

Lieferung erfolgt aus/von: Brasilien EN NW EB DL

ISBN: 9783319663081 bzw. 3319663089, in Englisch, Springer, Springer, Springer, neu, E-Book, elektronischer Download.

Fr. 69.52 (BRL 264.99)¹
versandkostenfrei, unverbindlich
Lieferung aus: Brasilien, in-stock.
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 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 ample 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.
4
9783319663081 - Mark Hoogendoorn, Burkhardt Funk: Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data (Cognitive Systems Monographs)
Mark Hoogendoorn, Burkhardt Funk

Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data (Cognitive Systems Monographs) (2017)

Lieferung erfolgt aus/von: Vereinigte Staaten von Amerika EN NW FE EB DL

ISBN: 9783319663081 bzw. 3319663089, in Englisch, 231 Seiten, Springer, neu, Erstausgabe, E-Book, elektronischer Download.

Lieferung aus: Vereinigte Staaten von Amerika, E-Book zum Download, Versandkostenfrei.
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 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 ample 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. Kindle Edition, Ausgabe: 1st ed. 2018, Format: Kindle eBook, Label: Springer, Springer, Produktgruppe: eBooks, Publiziert: 2017-11-20, Freigegeben: 2017-11-20, Studio: Springer.
5
9783319663074 - Machine Learning for the Quantified Self als von Mark Hoogendoorn, Burkhardt Funk

Machine Learning for the Quantified Self als von Mark Hoogendoorn, Burkhardt Funk

Lieferung erfolgt aus/von: Deutschland DE HC NW

ISBN: 9783319663074 bzw. 3319663070, in Deutsch, gebundenes Buch, neu.

Fr. 83.87 ( 85.49)¹
versandkostenfrei, unverbindlich
Lieferung aus: Deutschland, zzgl. Versandkosten.
Machine Learning for the Quantified Self ab 85.49 EURO On the Art of Learning from Sensory Data Cognitive Systems Monographs, Machine Learning for the Quantified Self ab 85.49 EURO On the Art of Learning from Sensory Data Cognitive Systems Monographs.
6
9783319663081 - Burkhardt Funk, Mark Hoogendoorn: Machine Learning for the Quantified Self
Burkhardt Funk, Mark Hoogendoorn

Machine Learning for the Quantified Self (2017)

Lieferung erfolgt aus/von: Vereinigte Staaten von Amerika EN NW EB DL

ISBN: 9783319663081 bzw. 3319663089, in Englisch, Springer, Springer, Springer, neu, E-Book, elektronischer Download.

Fr. 119.57 ($ 134.09)¹
versandkostenfrei, unverbindlich
Lieferung aus: Vereinigte Staaten von Amerika, in-stock.
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.
7
9783319663081 - Machine Learning for the Quantified Self (ebook)

Machine Learning for the Quantified Self (ebook)

Lieferung erfolgt aus/von: Vereinigte Staaten von Amerika EN NW EB

ISBN: 9783319663081 bzw. 3319663089, in Englisch, (null), neu, E-Book.

Fr. 132.86 ($ 149.00)¹
versandkostenfrei, unverbindlich
9783319663081, by Mark Hoogendoorn; Burkhardt Funk, PRINTISBN: 9783319663074, E-TEXT ISBN: 9783319663081, edition 0.
8
9783319663074 - Mark Hoogendoorn, Burkhardt Funk: Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data (Cognitive Systems Monographs)
Mark Hoogendoorn, Burkhardt Funk

Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data (Cognitive Systems Monographs) (2017)

Lieferung erfolgt aus/von: Deutschland EN HC NW FE

ISBN: 9783319663074 bzw. 3319663070, in Englisch, 226 Seiten, Springer, gebundenes Buch, neu, Erstausgabe.

Fr. 92.60 ( 94.38)¹
versandkostenfrei, unverbindlich
Lieferung aus: Deutschland, Noch nicht erschienen. Versandkostenfrei.
Von Händler/Antiquariat, Amazon.de.
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9
9783319663081 - Mark Hoogendoorn; Burkhardt Funk: Machine Learning for the Quantified Self
Mark Hoogendoorn; Burkhardt Funk

Machine Learning for the Quantified Self

Lieferung erfolgt aus/von: Vereinigte Staaten von Amerika DE NW EB

ISBN: 9783319663081 bzw. 3319663089, in Deutsch, Springer Science+Business Media, neu, E-Book.

Fr. 70.55 ($ 84.99)¹
versandkostenfrei, unverbindlich
Lieferung aus: Vereinigte Staaten von Amerika, Lagernd.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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