期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2020
卷号：68
期号：1
页码：21-25
DOI：10.14445/22312803/IJCTT-V68I1P105
出版社：Seventh Sense Research Group
摘要：The goal of various machine learning algorithms is to device learning algorithms that learns automatically without any human intervention or assistance. The emphasis of machine learning is on automatic methods. Supervised Learning, unsupervised learning and reinforcement learning are discussed in this paper. Machine learning is the core area of Artificial Intelligence. Although a subarea of AI, machine learning also intersects broadly with other fields, especially statistics, but also mathematics, physics, theoretical computer science and more. Machine learning algorithms and its purpose is to learn and perform specific tasks. Humans are always interested in making intelligent computers that will help them to do predictions and perform tasks without supervision. Machine learning comes into action and produces algorithms that learn from past experiences and make decisions to do better in the future.
关键词：Classification; Clustering; Super visedLearning; UnSuper vised learning; Reinforcementlearning.
