What is feature selection in machine learning? Feature selection is a crucial step in machine learning that involves choosing a…
What is a Random Forest classifier? A Random Forest classifier is a machine learning algorithm that falls under ensemble learning.…
What are Gaussian Mixture Models (GMMs)? Gaussian Mixture Models (GMM) are probabilistic models representing a probability distribution as a mixture…
What is DBSCAN? DBSCAN stands for "Density-Based Spatial Clustering of Applications with Noise." It is a popular clustering algorithm used…
What is Latent Semantic Analysis (LSA)? Latent Semantic Analysis (LSA) is used in natural language processing and information retrieval to…
What is dimensionality reduction in machine learning? Dimensionality reduction is a technique used in machine learning and data analysis to…
What is the meaning of PCA in machine learning? PCA stands for Principal Component Analysis. It is a statistical technique…
What is one-shot learning? One-shot learning is a machine learning paradigm that trains models to recognize new objects or patterns…
What is KMeans? KMeans is a popular clustering algorithm used in machine learning and data analysis. It's used to partition…
What is K-nearest neighbours? K-Nearest Neighbours (KNN) is a simple and widely used classification and regression algorithm in machine learning.…