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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, first edition, in english, also as e-book.
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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, first edition, in english, hardcover.
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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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Best price: £ 4.74 ( 5.55)¹ (from 09/12/2019)
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9783319663081 - Mark Hoogendoorn; Burkhardt Funk: Machine Learning for the Quantified Self
Mark Hoogendoorn; Burkhardt Funksearch

Machine Learning for the Quantified Selfsearch

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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.
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9783319663074 - Mark Hoogendoorn: Machine Learning for the Quantified Self - On the Art of Learning from Sensory Data
Mark Hoogendoornsearch

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

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ISBN: 9783319663074search or 3319663070, in german, Springer-Verlag Gmbh, hardcover, New.

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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.
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9783319663081 - Burkhardt Funk, Mark Hoogendoorn: Machine Learning for the Quantified Self
Burkhardt Funk, Mark Hoogendoornsearch

Machine Learning for the Quantified Self (2017)search

Delivery from: Brazil EN NW EB DL

ISBN: 9783319663081search or 3319663089, in english, Springer, Springer, Springer, New, ebook, digital download.

£ 60.49 (BRL 264.99)¹ thumb_up
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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 Funksearch

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

Delivery from: United States of America EN NW FE EB DL

ISBN: 9783319663081search or 3319663089, in english, 231 pages, Springer, New, first edition, ebook, digital download.

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From Seller/Antiquarian.
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.
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9783319663074 - Machine Learning for the Quantified Self als von Mark Hoogendoorn, Burkhardt Funk

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

Delivery from: Germany DE HC NW

ISBN: 9783319663074search or 3319663070, in german, hardcover, New.

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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.
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9783319663081 - Burkhardt Funk, Mark Hoogendoorn: Machine Learning for the Quantified Self
Burkhardt Funk, Mark Hoogendoornsearch

Machine Learning for the Quantified Self (2017)search

Delivery from: United States of America EN NW EB DL

ISBN: 9783319663081search or 3319663089, in english, Springer, Springer, Springer, New, ebook, digital download.

£ 104.04 ($ 134.09)¹ thumbs_up_down
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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)search

Delivery from: United States of America EN NW EB

ISBN: 9783319663081search or 3319663089, in english, (null), New, ebook.

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9783319663081, by Mark Hoogendoorn; Burkhardt Funk, PRINTISBN: 9783319663074, E-TEXT ISBN: 9783319663081, edition 0.
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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 Funksearch

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

Delivery from: Germany EN HC NW FE

ISBN: 9783319663074search or 3319663070, in english, 226 pages, Springer, hardcover, New, first edition.

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9783319663081 - Mark Hoogendoorn; Burkhardt Funk: Machine Learning for the Quantified Self
Mark Hoogendoorn; Burkhardt Funksearch

Machine Learning for the Quantified Selfsearch

Delivery from: United States of America DE NW EB

ISBN: 9783319663081search or 3319663089, in german, Springer Science+Business Media, New, ebook.

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Cognitive Systems, Machine Learning, Quantified Self, Learning from Sensory Data, Personalized m-health, Engineering; Computational Intelligence; Artificial Intelligence (incl. Robotics), eBook.