人工智能和机器学习是计算机科学的术语。本文讨论了一些要点，在这些要点上我们可以区分这两个术语。
概述
人工智能：“人工智能”一词由“人工智能”和“情报”两个词组成。人造的是指由人类或非自然的事物制成的事物，而智力则是指理解或思考的能力。人们误以为人工智能是一个系统，但不是一个系统。在该系统中实现了AI。关于AI的定义可以这么多，一个定义可以是“这是关于如何训练计算机的研究，以便计算机可以完成目前人类可以做得更好的事情。”因此，这是一种智能，我们希望将所有功能添加到人所拥有的机器中。
机器学习：机器学习是机器可以自行学习而无需显式编程的学习。它是AI的一种应用程序，它使系统能够自动学习并从经验中改进。在这里，我们可以通过集成该程序的输入和输出来生成该程序。机器学习的一个简单定义是： “机器学习被认为是从经验中学习，如果学习者在课堂上的任务表现(由P衡量)随着经验的提高而提高，则可以从某类任务T和一项绩效指标P中学习。”
AI和ML之间的主要区别是：
| ARTIFICIAL INTELLIGENCE | MACHINE LEARNING |
|---|---|
| AI stands for Artificial intelligence, where intelligence is defined acquisition of knowledge intelligence is defined as a ability to acquire and apply knowledge. | ML stands for Machine Learning which is defined as the acquisition of knowledge or skill |
| The aim is to increase chance of success and not accuracy. | The aim is to increase accuracy, but it does not care about success |
| It work as a computer program that does smart work | It is a simple concept machine takes data and learn from data. |
| The goal is to simulate natural intelligence to solve complex problem | The goal is to learn from data on certain task to maximize the performance of machine on this task. |
| AI is decision making. | ML allows system to learn new things from data. |
| It leads to develop a system to mimic human to respond behave in a circumstances. | It involves in creating self learning algorithms. |
| AI will go for finding the optimal solution. | ML will go for only solution for that whether it is optimal or not. |
| AI leads to intelligence or wisdom. | ML leads to knowledge. |
参考：
www.techrepublic.com/article/understanding-the-differences-between-ai-machine-learning-and-deep-learning