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 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.…
What is AdaBoost? AdaBoost, short for Adaptive Boosting, is a machine learning algorithm that belongs to the ensemble learning techniques.…
What is gradient boosting? Gradient Boosting is a powerful machine learning technique for classification and regression tasks. It's an ensemble…
What is grid search? Grid search is a hyperparameter tuning technique commonly used in machine learning to find a given…
What is softmax regression? Softmax regression, or multinomial logistic regression or maximum entropy classifier, is a machine learning technique used…
What is multi-class classification in machine learning? Multi-class classification is a machine learning task that aims to assign input data…