Machine Learning is where the machine can learn on its own without being programmed explicitly. Meanwhile Machine Learning (ML) is an application of artificial intelligence. One of the simple definition of the Machine Learning is “the concept that a computer program can learn and adapt to new data without human interference”.
The word Artificial Intelligence comprises of two words “Artificial” and “Intelligence”. Artificial refers to something which is made by human or non natural thing and Intelligence means ability to understand or think. It can be given a definition as “It is the study of how to train the computers so that computers can do things which at present human can do better.”
Major difference :
| 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 of artificial intelligence is to increase chance of success and not accuracy. | The aim of machine learning is to increase accuracy, but it does not care about success |
| Artificially intelligence is a simple concept machine takes data and learn from data | Machine Learning works as a computer program that does smart work |
| The goal of artificial intelligence is to learn from data on certain task to maximize the performance of machine on this task. | The goal of machine learning is to simulate natural intelligence to solve complex problem |
| AI is decision making | ML allows system to learn new things from data |
| Artificial intelligence leads to develop a system to mimic human to respond behave in a circumstances. | Machine Learning 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 |
