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Machine Learning (Dimensionalty Reduction (Principal Component Analysis,…
Machine Learning
Dimensionalty Reduction
Principal Component Analysis
Multidimensional Scaling
Sammon Mapping
Project Pursuit
Partial Least Squares Regression
Quadratic Discriminant Analysis
Deep Learning
Deep Boltzmann Machine
Deep Belief Networks
Convolutional Neural Network
Stacked Auto-Encoders
Neural Networks
Perception
Back-Propagation
Hopfield Network
Radial Basis Function Network
Regression
Linear Regression
Ordinary Least Squares Regression
Stepwise Regression
Logistic Regression
Introduction
study of algorithms and statistical models
Categorized as supervised or unsupervised
Machine learning is being used in a wide range of application