Noah Levi

Noah Levi

Support Vector Machine (SVM)

Support Vector Machine (SVM)

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.…

Support Vector Regression (SVR)

Support Vector Regression

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…

Reinforcement Learning (RL)

Reinforcement Learning (RL)

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…