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Randomized Algorithms for Matrices and Data (Foundations and Trends(r) in Machine Learning)

Michael W. Mahoney




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 | #6160143 in Books |  Now Publishers Inc |  2011-11-16 | Original language:English | PDF # 1 |  9.21 x.24 x6.14l,.38 | File type: PDF | 114 pages

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Randomized algorithms for very large matrix problems have received a great deal of attention in recent years. Much of this work was motivated by problems in large-scale data analysis, largely since matrices are popular structures with which to model data drawn from a wide range of application domains, and the success of this line of work opens the possibility of performing matrix-based computations with truly massive data sets. Originating within theoretical computer sci...

You easily download any file type for your device.Randomized Algorithms for Matrices and Data (Foundations and Trends(r) in Machine Learning)   |  Michael W. Mahoney. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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