Mathematical Modeling in Data Science - Intermediate

Overview

We will then proceed to introduce three such tools, based on a linear algebra framework. These tools and the problems that they address are:

Eigenvalues and Eigenvectors for ranking
Graph Laplacian for clustering
Singular value decomposition for data compression.

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Course Description

We will begin by explaining how maths underpins many of the tools that are used to manage and analyse big data. We will show you how very different applied problems can have common mathematical aims, and therefore can be addressed using similar mathematical tools.

Course Instructor : Raju Kumar Mishraview more

Objective

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