Mathematical Problems in Data Science
Mathematical Problems in Data Science: Theoretical and Practical Methods
Springer | Computer Science | January 16, 2016 | ISBN-10: 3319251252 | 213 pages | pdf | 4.1 mb
Springer | Computer Science | January 16, 2016 | ISBN-10: 3319251252 | 213 pages | pdf | 4.1 mb
by Li M. Chen (Author), Zhixun Su (Author), Bo Jiang (Author)
Explains the most current methods for solving cutting edge problems in data science and big data
Provides problem solving techniques and case studies
Covers a wide range of mathematical problems in data science in detail
Number of Illustrations and Tables
22 illus., 42 in colour
Topics
Information Systems and Communication Service
Computer Communication Networks
Mathematics of Computing
More info and Hardcover at Springer
Donate to Support :)