Foundations and Trends in Machine Learning Ser.: Randomized Algorithms for Matrices and Data by Michael W. Mahoney (2011, Trade Paperback)
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Title: Randomized Algorithms for Matrices and Data. It provides a detailed overview, appropriate for both students and researchers from all of these areas, of recent work on the theory of randomized matrix algorithms as well as the application of those ideas to the solution of practical problems in large-scale data analysis.