Mathematical Problems in Data Science: Theoretical and Practical Methods
This Book Describes Current Problems In Data Science And Big Data. Key Topics Are Data Classification, Graph Cut, The Laplacian Matrix, Google Page Rank, Efficient Algorithms, Hardness Of Problems, Different Types Of big Data, Geometric Data Structures, Topological Data Processing, And Various Lear, Download PDF file of Mathematical Problems in Data Science: Theoretical and Practical Methods, Published originally in 2016. This PDF file has 219 Pages pages and the PDF file size is 968 KB. The PDF file is written in English, Categorized in . As of 30 July 2025, this page has been bookmarked by 17,101 people. Now You Can Download "Mathematical Problems in Data Science: Theoretical and Practical Methods Book" as PDF or You Can See Preview By Clicking Below Button.
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