Artificial Intelligence on the one hand is defined as the intelligence exhibited by machines by which it mimics cognitive functions that humans use while interacting with other humans. On the other hand, machine learning means to provide data to machines and let them learn for themselves.

1. Machine Learning

Machine learning in one line can be defined as the ‘Algorithms through which machines can learn by using data, observations and experiences’. Powerful machine learning algorithms can help create various archetypes that can accurately predict future events and can warn people in advance. It can also help machines to make intelligent decisions based on their past experiences. Years of research in this field has helped to come up with algorithms that help machines to identify the problems and to come up with novel approaches to solve them. But still a great deal of code is written by researchers; hence years of research is still required to reach a level where machines can learn by themselves and come up with solutions without human help.

2. Artificial Intelligence

Artificial intelligence, in one line is ‘Human intelligence exhibited by a machine’. It is the ability of machines to inculcate the ability to think, to build perceptions, plan in advance and to respond like humans. The final aim of AI is to develop problem solving skills so that it can assist humans with their daily chores efficiently. Machine learning is a subset of AI because the ultimate goal is to make machines self dependent so as to take decisions based on logic, reasoning, rational thinking and past experiences.

The above points clearly depict the difference between machine learning and artificial intelligence where on one hand the former is about learning through data and past experiences and taking decisions on its basis; whereas the latter is about the ability of the machines to interact with humans and to help them in our day to day lives.