Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Januar 2026
Genre:	EDV / Informatik
	Artificial Intelligence / Computer Programming / Software Development / Computer programming / software engineering / COMPUTERS / Artificial Intelligence / General / COMPUTERS / Data Science / General / COMPUTERS / Programming / General / Data capture and analysis / Information technology# general issues / machine learning mehr...
ISBN:	9780443452062
EAN-Code:	9780443452062
Verlag:	Elsevier
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 276 mm / B 216 mm / D
Gewicht:	450 gr
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Essentials of Big Data Analytics: Applications in R and Python is a comprehensive guide that demystifies the complex world of big data analytics, blending theoretical concepts with hands-on practices using the Python and R programming languages and MapReduce framework. This book bridges the gap between theory and practical implementation, providing clear and practical understanding of the key principles and techniques essential for harnessing the power of big data. Essentials of Big Data Analytics is designed to provide a comprehensive resource for readers looking to deepen their understanding of Big Data analytics, particularly within a computer science, engineering, and data science context. By bridging theoretical concepts with practical applications, the book emphasizes hands-on learning through exercises and tutorials, specifically utilizing R and Python. Given the growing role of Big Data in industry and scientific research, this book serves as a timely resource to equip professionals with the skills needed to thrive in data-driven environments.