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Google Classroom
Google Classroom
GeoGebra
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Exploring Principal Component Analysis
What is PCA?
Exploring PCA in 2D
Exploring PCA in 3D
Other ML Concepts
ANNs
About Me
Exploring Principal Component Analysis
Tekijä:
Samantha Garcia
Aiheet:
Tilastolliset tunnusluvut
,
Tilastot
A series of applications that explore principal component analysis in 2D and 3D.
Sisällysluettelo
What is PCA?
Introduction
What is PCA?
PCA Color Projection
PCA Color Projection (complicated version)
Exploring PCA in 2D
Principal Component Analysis
Circles PCA in 2D
Absolute Value PCA in 2D
Cubic PCA in 2D
Linear PCA in 2D
Exploring PCA in 3D
Principal Component Anlaysis 3d
Groups PCA in 3D
Circle PCA in 3D
Line PCA in 3D
Other ML Concepts
The 5 Queens Problem
Reinforcement Learning
ANNs
Book access
What the Heck are Artificial Neural Networks?
Activity!
About Me
Contact Info and Bio
Other useful tutorials, books, or lessons
Seuraava
Introduction
Uusia resursseja
Building Parallelograms with Set Areas
Conway Circle Theorem
Superellipse
Building Trapezoids with Set Areas
Mondrian's Puzzle
Löydä Materiaaleista
Untitled
ughk
Graphing Translated Exponential Functions
Pedal Curve of a Parabola and Focus
Ch. 3.9 Derivative of Inverse Function
Löydä aiheita
Hyperbeli
Kappaleet tai 3D-muodot
Geometria
Piiri
Matematiikka