What is the Difference Between Machine Learning and Artificial Intelligence?

Artificial Intelligence (AI) and Machine Learning are the most common buzzwords around the world after UAE declared Sophia, a humanoid robot, citizen of Dubai.

People often come up with confusion whether there’s any difference between AI and Machine Learning or both are the same concept. After doing a research I thought, it’s worth writing a brief which clears the concepts of AI and Machine Learning.

Machine Learning: Machine Learning is just a branch of Artificial Intelligence based on the concept that machine should be able to learn and adapt through experiences. According to Arthur Samuel, Machine Learning is the field of study that gives computers the ability to learn without being explicitly programmed.

At other hand we can make it simple in a way that Machine Learning is a current application of AI where machines can learn for themselves based on the data provided.

To understand the machine learning we can take an example of Google’s self driving cars which works on data already feed and learns from the experiences. You can take another example of Amazon and Google which suggest you items of your choice on the basis of your search habits.

Artificial Intelligence: Artificial Intelligence is the broader concept of machines being able to carry out the task that we consider smart, as smart as we human perform in terms of logic and efficiency. AI is the study of developing logical machines or mechanical brain which works on the basis of human decision making process or the way human makes decision and performs the task.

To understand the AI in brief we can take an example of Sophia, a Humanoid robot, developed by Hanson Robotics which can carry out the work more smartly and logically as human do. We can’t say it is as smart as human being but we are at the edge of AI world.