Artificial Intelligence(AI) & Machine Learning are the terms of computer science. Let’s discuss some points on the basis of which we can find the difference between AI & Machine Learning.
Meaning
Artificial Intelligence:
The word Artificial Intelligence(AI) contains two words “Artificial” and “Intelligence”. Artificial mention to something which is created by human or non-natural things and Intelligence means the ability to understand or think. There is a misunderstanding that Artificial Intelligence is a system, but it is not a system .AI is used in the system. There can be so many definitions of AI, one of them is “It is the study of how to train the computers so that computers can do things which at present humans can do better.” Therefore It is an intelligence where we want to add all the capabilities to a machine that human contains.
Machine Learning:
Machine Learning is the learning in which machines can learn on their own without being explicitly programmed. It is an application of AI that allows the system with the ability to automatically learn and improve from experience. Here we can create a program by integrating input and output of that program. The definition of Machine Learning is “Machine Learning is to learn from experience E w.r.t some class of task T and a performance measure P if learners performance at the task in the class as measured by P improves with experiences.”
The Key Difference Between AI & Machine Learning are:
| ARTIFICIAL INTELLIGENCE(AI) | MACHINE LEARNING |
|---|---|
| AI stands for Artificial intelligence, where intelligence is defined as the acquisition of knowledge intelligence is defined as an 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 the chance of success and not accuracy. | The aim is to increase accuracy, but it does not care about the success |
| It works like a computer program that does smart work | It is a simple concept machine takes data and learns from data. |
| The goal is to simulate natural intelligence to solve a complex problem | The goal is to learn from data on certain tasks to maximize the performance of machines on this task. |
| AI is decision making. | ML allows the system to learn new things from data. |
| It leads to developing a system to mimic human to respond behave in circumstances. | It involves creating self-learning algorithms. |
| AI will go for finding the optimal solution. | ML will go for the only solution for that whether it is optimal or not. |
| AI leads to intelligence or wisdom. | ML leads to knowledge. |
