An Overview of Supervised Machine Learning Algorithm
Vratika Gupta, Vinay Kumar Mishra, Priyank Singhal, Amit Kumar
Abstract
Machine learning is a subset of Artificial intelligence. Algorithms for machine learning automatically learn from experience and improve from it without being explicitly programmed. Machine learning defines Supervised, Unsupervised and Reinforcement Learning. Supervised algorithms are worked on under guidance but unsupervised algorithms are worked on without guidance. Machine learning provides good accuracy in both the algorithms. This paper is describing machine learning methods, different types of supervised learning algorithms, comparison of machine learning algorithms and application of machine learning algorithms.
Topics & Concepts
Machine learningArtificial intelligenceComputer scienceUnsupervised learningOnline machine learningInstance-based learningSemi-supervised learningComputational learning theoryWake-sleep algorithmLearning classifier systemAlgorithmActive learning (machine learning)Hyper-heuristicSupervised learningReinforcement learningRobot learningWeighted Majority AlgorithmArtificial neural networkGeneralization errorRobotMobile robotAnomaly Detection Techniques and ApplicationsTime Series Analysis and ForecastingMachine Learning and Data Classification