目次

Introduction: Big Data, Opportunities, challenges, and the future; Statistical estimation and Hypothesis Testing; Matrix Factorizations, Eigen Values, Eigen vectors, and Big Data; Exploratory Data Analysis; Stochastic Processes; Streaming Data and Time-Series analysis; Supervised learning; Unsupervised learning; Orthogonal Expansions and lossy compression; Text Mining; Parallel algorithms; Appendices.