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，我们可以根据这些要点区分这两个术语。
概述
人工智能：人工智能一词由“人工”和“智能”两个词组成。人工是指由人类或非自然事物制造的东西，智能是指理解或思考的能力。有一种误解，认为人工智能是一个系统，但它不是一个系统。AI 是在系统中实现的。人工智能可以有很多定义，一个定义可以是“它是研究如何训练计算机，以便计算机可以做目前人类可以做得更好的事情”。因此，我们希望将人类包含的所有功能添加到机器中，这是一种智能。
机器学习：机器学习是机器可以在没有明确编程的情况下自行学习的学习。它是人工智能的一种应用，它为系统提供了从经验中自动学习和改进的能力。在这里，我们可以通过整合该程序的输入和输出来生成一个程序。机器学习的一个简单定义是“如果学习者在由 P 衡量的班级任务中的表现随着经验而提高，那么机器学习就被认为是从经验 E 中学习与某类任务 T 和性能度量 P 相关的。”
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