Technoscience in History / Transformations: Studies in the History of Science and Technology (ePub)
Prussia, 1750-1850
(Sprache: Englisch)
The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.
Machine learning is often used to build predictive models by extracting patterns from large datasets....
Machine learning is often used to build predictive models by extracting patterns from large datasets....
sofort als Download lieferbar
eBook (ePub)
42.49 €
21 DeutschlandCard Punkte sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Technoscience in History / Transformations: Studies in the History of Science and Technology (ePub)“
The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.
Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.
Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.
Autoren-Porträt von Ursula Klein
John D. Kelleher is Academic Leader of the Information, Communication, and Entertainment Research Institute at Technological University Dublin. Brian Mac Namee is Associate Professor at the School of Computer Science at University College Dublin. Aoife D'Arcy is CEO of Krisolis, a data analytics company based in Dublin.
Bibliographische Angaben
- Autor: Ursula Klein
- 2020, 304 Seiten, Englisch
- Verlag: MIT Press
- ISBN-10: 0262359480
- ISBN-13: 9780262359481
- Erscheinungsdatum: 22.09.2020
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 40 MB
- Mit Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Family Sharing
eBooks und Audiobooks (Hörbuch-Downloads) mit der Familie teilen und gemeinsam genießen. Mehr Infos hier.
Kommentar zu "Technoscience in History / Transformations: Studies in the History of Science and Technology"
0 Gebrauchte Artikel zu „Technoscience in History / Transformations: Studies in the History of Science and Technology“
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Technoscience in History / Transformations: Studies in the History of Science and Technology".
Kommentar verfassen