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.Rproj.user
.Rproj.user
 
 
_book
_book
 
 
docs
docs
 
 
.Rhistory
.Rhistory
 
 
.gitignore
.gitignore
 
 
00-chapter.Rmd
00-chapter.Rmd
 
 
01-IntroductionAndMotivation.Rmd
01-IntroductionAndMotivation.Rmd
 
 
02-LinearAlgebra.Rmd
02-LinearAlgebra.Rmd
 
 
03-AnalyticGeometry.Rmd
03-AnalyticGeometry.Rmd
 
 
04-MatrixDecomposition.Rmd
04-MatrixDecomposition.Rmd
 
 
05-VectorCalculus.Rmd
05-VectorCalculus.Rmd
 
 
06-ProbabilityAndDistributions.Rmd
06-ProbabilityAndDistributions.Rmd
 
 
07-ContinuousOptimization.Rmd
07-ContinuousOptimization.Rmd
 
 
08-Data,Models,andLearning.Rmd
08-Data,Models,andLearning.Rmd
 
 
09-LinearRegression.Rmd
09-LinearRegression.Rmd
 
 
10-DimensionReductionWithPrincipalComponentAnalysis.Rmd
10-DimensionReductionWithPrincipalComponentAnalysis.Rmd
 
 
11-DensityEstimationWithGaussianMixtureModels.Rmd
11-DensityEstimationWithGaussianMixtureModels.Rmd
 
 
12-ClassificationWithSupportVectorMachines.Rmd
12-ClassificationWithSupportVectorMachines.Rmd
 
 
A-Symbols.Rmd
A-Symbols.Rmd
 
 
A1-IntroductionAndMotivation.Rmd
A1-IntroductionAndMotivation.Rmd
 
 
A2.0-Vectors.rmd
A2.0-Vectors.rmd
 
 
A2.1-SystemsOfLE.rmd
A2.1-SystemsOfLE.rmd
 
 
A2.2-Matrices.rmd
A2.2-Matrices.rmd
 
 
A2.3-SolvingSystemsOfEquations.rmd
A2.3-SolvingSystemsOfEquations.rmd
 
 
DSCI420.Rproj
DSCI420.Rproj
 
 
Example89.png
Example89.png
 
 
Figure1.1MML.png
Figure1.1MML.png
 
 
Figure2.1MML.png
Figure2.1MML.png
 
 
Figure3.1MML.png
Figure3.1MML.png
 
 
Figure4.1MML.png
Figure4.1MML.png
 
 
Figure5.2MML.png
Figure5.2MML.png
 
 
Figure6.1MML.png
Figure6.1MML.png
 
 
Figure7.1MML.png
Figure7.1MML.png
 
 
New.rmd
New.rmd
 
 
README.md
README.md
 
 
ScalarMultiplication2.png
ScalarMultiplication2.png
 
 
TipToTail.png
TipToTail.png
 
 
TipToTail2.png
TipToTail2.png
 
 
VectorAdditionExample.png
VectorAdditionExample.png
 
 
_bookdown.yml
_bookdown.yml
 
 
_output.yml
_output.yml
 
 
index.Rmd
index.Rmd
 
 
style.css
style.css
 
 

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My Bookdown GitHub Book

This is a minimal example of a Bookdown project published using GitHub Pages.

DSCI420Notes

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A study guide for the textbook Mathematics for Machine Learning by Deisenroth et al.

theelementsmath.github.io/DSCI420Notes

Topics

calculus linear-regression linear-algebra probability gaussian-mixture-models gradient-descent principal-component-analysis dimension-reduction singular-value-decomposition matrix-algebra mathematics-for-machine-learning deisenroth

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