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Applications of Linear Algebra Part 2

Our world is in a data deluge with ever increasing sizes of datasets. Linear algebra is a tool to manage and analyze such data.

This course is part 2 of a 2-part course, with this part extending smoothly from the first. Note, however, that part 1, is not a prerequisite for part 2. In this part of the course, we'll develop the linear algebra more fully than part 1. This class has a focus on data mining with some applications of computer graphics. We'll discuss, in further depth than part 1, sports ranking and ways to rate teams from thousands of games. We’ll apply the methods to March Madness. We'll also learn methods behind web search, utilized by such companies as Google. We'll also learn to cluster data to find similar groups and also how to compress images to lower the amount of storage used to store them. The tools that we learn can be applied to applications of your interest. For instance, clustering data to find similar movies can be applied to find similar songs or friends. So, come to this course ready to investigate your own ideas.

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Rating Not enough ratings
Length 4 weeks
Effort 12 - 18 hours per week
Starts Apr 6 (233 weeks ago)
Cost $0
From Davidson College, DavidsonX via edX
Instructors Tim Chartier, Allison Dulin, Kristen Eshleman, Robert McSwain, Sara Swanson
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science Mathematics
Tags Computer Science Data Analysis & Statistics Math

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edX

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Davidson College

Rating Not enough ratings
Length 4 weeks
Effort 12 - 18 hours per week
Starts Apr 6 (233 weeks ago)
Cost $0
From Davidson College, DavidsonX via edX
Instructors Tim Chartier, Allison Dulin, Kristen Eshleman, Robert McSwain, Sara Swanson
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science Mathematics
Tags Computer Science Data Analysis & Statistics Math

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