Definition of K-Nearest Neighbor(KNN):K-Nearest Neighbors (KNN) is a simple, non-parametric, supervised machine learning algorithm used for classification and regression tasks. It classifies data points or predicts values by identifying the ‘k’ closest data points (neighbors) in the feature space and…
Definition of Support Vector Machine (SVM):Support Vector Machine (SVM) is a supervised machine learning algorithm used for classification and regression tasks. It works by finding the optimal hyperplane that best separates data points into distinct classes or predicts continuous outcomes.…
Introduction Imagine if someone took a simple picture of you and used advanced computer tools to make it look as if you were undressed or in an embarrassing situation. This troubling reality is happening more often today with a technology…
Definition of Support Vector Regression (SVR):Support Vector Regression (SVR) is a machine learning algorithm based on Support Vector Machines (SVM) designed for regression tasks. It predicts continuous values by finding a hyperplane (or curve) that best fits the data within…
Definition of Reinforcement Learning (RL):Reinforcement Learning (RL) is a type of machine learning where an agent learns to make decisions by interacting with an environment to maximize cumulative rewards. Unlike supervised learning, RL does not rely on labeled data but…
Definition of Convolutional Neural Network (CNN):A Convolutional Neural Network (CNN) is a specialized type of artificial neural network designed for processing structured grid data, such as images or videos. It is particularly effective for recognizing patterns, such as edges, textures,…
Definition:A Recurrent Neural Network (RNN) is a type of artificial neural network designed to recognize patterns in sequences of data, such as time-series data, text, speech, or video. Unlike traditional neural networks, RNNs have connections that allow information to persist,…