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개요
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
저자:
Samantha Garcia
주제:
통계적 특성
,
통계
A series of applications that explore principal component analysis in 2D and 3D.
목차
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
다음
Introduction
새 자료
Graph of Slopes of Tangent Lines
Circumference of a unit circle
Rolling a Square
Limaçons
Row and Column Views of Systems of Linear Equations
자료 찾기
Euclid's Elements
NS2-03-P1-Q3 - Adding Fractions with Different Denominators
distance #2
Hexogonal Brick Pattern for City layout
주제 찾기
마름모
원
좌표
타원
탄젠트 함수
