Machine Learning: A Way of Dealing with Artificial Intelligence

R. B. Dhumale, N. D. Thombare, P. M. Bangare
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引用次数: 1

Abstract

The activities of computers with Artificial Intelligence are intended for Speech recognition, Learning, Planning, Problem solving, etc. Machine Learning is a division/subset of AI. Deep learning is a part of AI that is concerned with coping the learning approach to facilitate human beings applies to gain certain kind of knowledge. This paper presents the idea of Machine Learning. The different methods of learning like supervised learning, unsupervised learning and reinforcement learning are explained with the concepts of regression, classification, clustering and association are given. The terminologies used in machine learning like statistic fit and dimensionality reduction are given with suitable examples.
机器学习:一种处理人工智能的方法
具有人工智能的计算机的活动旨在进行语音识别、学习、规划、解决问题等。机器学习是人工智能的一个分支/子集。深度学习是人工智能的一部分,它关注的是如何应对学习方法,以方便人类应用于获取某种知识。本文提出了机器学习的思想。介绍了不同的学习方法,如监督学习、无监督学习和强化学习,并给出了回归、分类、聚类和关联的概念。在机器学习中使用的术语,如统计拟合和降维给出了适当的例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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