Fundamentals of Data Analytics (PDF)
This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional...
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail and extensively applied to dimensionality reduction by principal component analysis and multidimensional scaling. Diffusion maps and spectral clustering are derived as powerful tools. The methodological overlap between data science and machine learning is emphasized by demonstrating how data science is used for classification as well as supervised and unsupervised learning.
GHOLAMREZA ALIREZAEI received the Ph.D. degree from RWTH Aachen University in 2014. He also received the habilitation degree from the same university in 2019. Currently he holds lecturer positions with RWTH Aachen University and Technical University of Munich. His research interests include signal processing, information theory and artificial intelligence. From 2008 to 2011 he was the head of the research and development (R&D) section at ATecoM GmbH. He received several awards and recognitions for his scientific research, among others he is the recipient of the ITG-Literature Prize and the Vodafone Young-Researcher Award.
EMILIO BALDA received the M.Sc. degree in communications and signal processing from Ilmenau University
ARASH BEHBOODI received his Ph.D. degree in electrical engineering focused on information theory from École Supérieure délectricité (now CentraleSupélec), France in 2012, Masters in Philosophy from University of Paris 1- Pantheon Sorbonne in 2010 and Masters in electrical engineering from Sharif University of Technology in 2007. He has been co-recipient of multiple best paper awards in the field of machine learning and signal processing. He is currently a machine learning researcher with Qualcomm AI research. His research interests are focused on theory of information, communication, signal processing and machine learning.
- Autoren: Rudolf Mathar , Gholamreza Alirezaei , Emilio Balda , Arash Behboodi
- 2020, 1st ed. 2020, 127 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3030568318
- ISBN-13: 9783030568313
- Erscheinungsdatum: 15.09.2020
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 2.83 MB
- Ohne Kopierschutz
- Vorlesefunktion
Schreiben Sie einen Kommentar zu "Fundamentals of Data Analytics".
Kommentar verfassen