In this video, we will cover the difference between AI vs Machine Learning vs Deep Learning. 

What is Artificial Intelligence (AI)? 

It is the machinery form of a human and the technology which it uses enables a machine to think and act like a human. An AI model learns from experience as a human does. It learns from the hidden patterns in the data. With AI, humans can complete the work 90% faster. Application of AI can be seen in fields like sales, fashion, education, social media, agriculture, healthcare, security, etc. 

What is Machine Learning (ML)? 

It can be explained as automating and improving the learning process of computers based on their experiences without any human assistance. It involves feeding good quality data and then training our systems by building machine learning models using the data and different algorithms. The choice of algorithms depends on what type of data do we have and what kind of task we are trying to automate.

 What is Deep Learning (DL)? 

It is a particular kind of machine learning that achieves great power and flexibility by learning to represent the world as a nested hierarchy of concepts, with each concept defined in relation to simpler concepts, and more abstract representations computed in terms of less abstract ones. 

Related Article: 

https://www.geeksforgeeks.org/difference-between-artificial-intelligence-vs-machine-learning-vs-deep-learning/