Machine Learning Concepts

Flashcards about machine learning concepts.

Principal Component Analysis (PCA)

A dimensionality reduction technique used in machine learning.

Unsupervised Learning

A category of machine learning techniques where the algorithm learns from unlabeled data.

Clustering

An unsupervised learning method used to group similar data points into clusters.

K-Means

A popular clustering algorithm that aims to partition n observations into k clusters.

Bayesian Method (in Clustering)

A type of clustering method based on Bayesian inference.