机器学习及其重要性

Priyanka R. Gondaliya
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引用次数: 0

摘要

在当今的数字时代,企业每天产生的数据量达到惊人的 2.5 万亿字节。对于那些想知道这个数字是多少的人来说,一个五亿字节有 18 个零!随着人们使用社交媒体平台、数字通信渠道和各种非接触式服务,大数据继续以惊人的速度增长也就不足为奇了。但是,未来我们该如何利用所有这些信息的潜力呢?机器学习又有什么用呢?首先,为了更好地理解机器学习的未来,我们必须能够区分深度学习(DL)、人工智能(AI)和机器学习(ML)这三个概念。 机器学习(ML)
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 and their Importance
In today’s digital era, businesses are actively generating an astonishing 2.5 quintillion bytes of data every single day. For those of you wondering how much that is—well, there are 18 zeroes at a quintillion! With people using social media platforms, digital communication channels, and various contactless services, it is no surprise that big data continues to grow at a colossal rate. But how can we harness the potential of all this information in the future? And what’s machine learning have to do with it? First of all we have To better understand the future of machine learning, one must be able to differentiate between these 3 concepts deep learning (DL), artificial intelligence (AI) and machine learning (ML) interchangeably. machine learning (ML)
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