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Cover image for Mathematical Problems in Data Science Theoretical and Practical Methods
Title:
Mathematical Problems in Data Science Theoretical and Practical Methods
Author:
Chen, Li M. author.
ISBN:
9783319251271
Edition:
1st ed. 2015.
Physical Description:
XV, 213 p. 64 illus., 42 illus. in color. online resource.
Contents:
Introduction: Data Science and BigData Computing -- Overview of Basic Methods for Data Science -- Relationship and Connectivity of Incomplete Data Collection -- Machine Learning for Data Science: Mathematical or Computational -- Images, Videos, and BigData -- Topological Data Analysis -- Monte Carlo Methods and their Applications in Big Data Analysis -- Feature Extraction via Vector Bundle Learning -- Curve Interpolation and Financial Curve Construction -- Advanced Methods in Variational Learning: Segmentation with Intensity Inhomogeneity -- An On-line Strategy of Groups Evacuation From a Convex Region in the Plane -- A New Computational Model of Bigdata.
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