人工智能
计算机科学
机器学习
领域(数学)
深度学习
无监督学习
算法
超启发式
基于实例的学习
在线机器学习
计算学习理论
机器人学习
机器人
移动机器人
数学
纯数学
标识
DOI:10.1109/iciscae59047.2023.10392649
摘要
Artificial Intelligence technologies have been developed rapidly in the past 20 years and have been widely applied in various industries. Machine Learning, as the most important way to achieve artificial intelligence, is evolving at a huge speed. Keeping track of the regular development is quite a difficult work, especially for beginners. In this paper, we are going to briefly discuss about the most popular machine learning algorithms and their variants or improved versions. These algorithms are usually classified as supervised learning or unsupervised learning methods, or other grouping methods based on functionality. Deep Learning is covered because deep learning methods have led to revolutionary progress in computer vision and machine learning. We also talk about the industries that these models can be applied in. This article is intend to provide basic references of these commonly used algorithms in the field for beginners, help them to get a general understanding of the algorithms and the scenarios, and guide to select appropriate algorithm or model to start solving a practical data problem.
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