Mathematics of Big Data: Spreadsheets, Databases, Matrices, and Graphs (MIT Lincoln Laboratory Series)
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Review In this era of big data, new methods for gaining insights promise to improve all aspects of our lives. This new textbook from Kepner and Jananthan is a fantastic resource for data scientists to understand the unifying mathematics for big data problems that covers everything from databases to graph analytics.―David A. Bader, Professor and Chair, School of Computational Science and Engineering, Georgia Institute of Technology Read more About the Author Jeremy Kepner is an MIT Lincoln Laboratory Fellow, Founder and Head of the MIT Lincoln Laboratory Supercomputing Center, and Research Affiliate in MIT's Mathematics Department. Hayden Jananthan is a PhD candidate in the Department of Mathematics at Vanderbilt University. Charles E. Leiserson is Professor of Computer Science and Engineering at the Massachusetts Institute of Technology. Read more
Review In this era of big data, new methods for gaining insights promise to improve all aspects of our lives. This new textbook from Kepner and Jananthan is a fantastic resource for data scientists to understand the unifying mathematics for big data problems that covers everything from databases to graph analytics.―David A. Bader, Professor and Chair, School of Computational Science and Engineering, Georgia Institute of Technology Read more About the Author Jeremy Kepner is an MIT Lincoln Laboratory Fellow, Founder and Head of the MIT Lincoln Laboratory Supercomputing Center, and Research Affiliate in MIT's Mathematics Department. Hayden Jananthan is a PhD candidate in the Department of Mathematics at Vanderbilt University. Charles E. Leiserson is Professor of Computer Science and Engineering at the Massachusetts Institute of Technology. Read more
2019-05-01 03:06:12