Machine learning quantified art de funk burkhardt (18 resultados)

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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

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Condición: New. Softcover reprint of the original 1st ed. 2018 edition NO-PA16APR2015-KAP.

Hardcover. Condición: Brand New. 248 pages. 9.25x6.10x0.79 inches. In Stock.

Paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condición: Brand New. 248 pages. 9.25x6.10x0.79 inches. In Stock. This item is printed on demand.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. …

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Condición: New. PRINT ON DEMAND.

Condición: New. PRINT ON DEMAND.