Handbook of Big Data Analytics
Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have a solid background in statistics and computer science.
- 2018 Springer
- Book Quality:
- Springer International Publishing
- Date of Addition:
- Computers and Internet, Mathematics and Statistics, Nonfiction,
- Usage Restrictions:
- This is a copyrighted book.
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