Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	April 2021
Genre:	Naturwissensch., Medizin, Technik
	COMPUTERS / Computer Science / COMPUTERS / Data Science / Machine Learning / COMPUTERS / Information Theory / Digital signal processing (DSP) / Information theory / machine learning / MATHEMATICS / Probability & Statistics / General / Probability & statistics / Probability and statistics / Signal Processing / TECHNOLOGY & ENGINEERING / Signals & Signal Processing mehr...
ISBN:	9781108427135
EAN-Code:	9781108427135
Verlag:	Cambridge Academic
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 250 mm / B 176 mm / D 34 mm
Gewicht:	1100 gr
Illustration:	74 b/w illus., Zeichnungen, schwarz-weiss, Raster,schwarz-weiss, Worked examples or Exercises
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Learn about the state-of-the-art at the interface between information theory and data science with this first unified treatment of the subject. Written by leading experts in a clear, tutorial style, and using consistent notation and definitions throughout, it shows how information-theoretic methods are being used in data acquisition, data representation, data analysis, and statistics and machine learning. Coverage is broad, with chapters on signal acquisition, data compression, compressive sensing, data communication, representation learning, emerging topics in statistics, and much more. Each chapter includes a topic overview, definition of the key problems, emerging and open problems, and an extensive reference list, allowing readers to develop in-depth knowledge and understanding. Providing a thorough survey of the current research area and cutting-edge trends, this is essential reading for graduate students and researchers working in information theory, signal processing, machine learning, and statistics.