机器学习

Adarsh Kumar, Priyadarshi Upadhyay, A. Kumar
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引用次数: 0

摘要

摘要:机器学习(Machine Learning, M.L)是研究计算机用来完成特定任务的静态模态和算法的科学。学习算法在我们日常生活中使用的许多应用程序中使用。图像识别是一种众所周知的将物体识别为数字图像的技术,其工作如此出色的原因之一是因为一种基于黑白图像和彩色图像像素强度的学习算法。这些算法用于各种目的,如预测分析,虚拟助手等。使用机器学习的主要优点是,一旦算法掌握了对特定数据的处理,它就会自动工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine Learning
Abstract: Machine Learning (M.L) is a scientific study of statical modals and algorithms that computer used to perform a certain task. Learning algorithms used in many applications that our used in daily life. Image recognition is a well known for identify an object as a digital image, one of the reason it work so well is because a learning algorithm that has based on the intensity of the pixels black & white images and color images. These algorithms are used for various purposes like predictive analytics, virtual assistants etc. The main advantage of using machine learning is that, once an algorithm grasp what to perform with particular data, then it works automatically.
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