Data Science and Big Data Computing: Frameworks and Methodologies-P2P
This illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. Expert perspectives are provided by authoritative researchers and practitioners from around the world, discussing research developments and emerging trends, presenting case studies on helpful frameworks and innovative methodologies, and suggesting best practices for efficient and effective data analytics.

Data Science and Big Data Computing: Frameworks and Methodologies-P2P
Springer | Software Engineering | August 6, 2016 | ISBN-10: 3319318594 | 332 pages | pdf | 5.34 mb
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