학술논문

An Overview of Supervised Machine Learning Algorithm
Document Type
Conference
Source
2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART) System Modeling & Advancement in Research Trends (SMART), 2022 11th International Conference on. :87-92 Dec, 2022
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
General Topics for Engineers
Geoscience
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Machine learning algorithms
Error analysis
Supervised learning
Reinforcement learning
Market research
Classification algorithms
Unsupervised learning
ANN
Naïve Bayes
Machine learning
Language
ISSN
2767-7362
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.