AI and machine learning

What is the difference between machine learning and AI?

  • On : December 24, 2018

Two buzzwords that continuously keep popping up are artificial intelligence and machine learning, these words also seem to be used interchangeably as many people believe them to be the same. Although they are similar they are not quite the same, but many people believe perceived into thinking they are which hence leads to some confusion. This article will clear all confusion.


The word Artificial Intelligence comprises of two words “Artificial” and “Intelligence”. Artificial refers to something which is made by human and intelligence means the ability to understand or think. AI can be defined by “the study of how to train computers so that they can do things which at present humans can do better.” Therefore it is an intelligence where we want to add all the capabilities that humans contain and train a machine to do them better.


However, machine learning is the learning in which machines can learn by its own without being explicitly programmed. Machine learning is an application of AI that provides systems to the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves. The key differences between AI and ML is that AI deals which intelligence which needs to be programmed into it whereas ML is all about learning, here the machine is able to acquire the knowledge or skill all by themselves.


The aim is AI is to increase the chance of success and not accuracy. On the other hand, the aim of machine learning is to increase accuracy, but it doesn’t care about success.


AI works as a computer program that does smart work, but ML is a simple concept machine which takes data and learns from it. AI leads to develop a system to mimic humans to respond and behave in similar circumstances, but ML involves in creating self-learning algorithms. The goal of AI is to simulate natural intelligence to solve a complex problem, but the goal of ML is to learn from data on certain tasks to maximize the performance of that particular machine.


Both AI and ML can have valuable business applications. These two terms have something in common. Thanks to them, we can enjoy intelligent houses, cars, or even technology like Siri, that are becoming more and more helpful. Determining which one is best for your company depends on what your needs are.