Machine Learning Paradigms / Learning and Analytics in Intelligent Systems Bd.1 (PDF)
This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intelligent systems...
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intelligent systems and related technologies. These disciplines are strongly related and mutually complementary; accordingly, the new series encourages an integrated approach to themes and topics in these disciplines, which will result in significant cross-fertilization, research advances and new knowledge creation. To maximize the dissemination of research findings, the series will publish edited books, monographs, handbooks, textbooks and conference proceedings. This book is intended for professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter allows readers to probe further into those application areas that interest them most.
- 2019, 1st ed. 2019, 548 Seiten, Englisch
- Herausgegeben: George A. Tsihrintzis, Maria Virvou, Evangelos Sakkopoulos, Lakhmi C. Jain
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3030156281
- ISBN-13: 9783030156282
- Erscheinungsdatum: 06.07.2019
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 15 MB
- Ohne Kopierschutz
- Vorlesefunktion
Schreiben Sie einen Kommentar zu "Machine Learning Paradigms / Learning and Analytics in Intelligent Systems Bd.1".
Kommentar verfassen