Differences between Machine Learning and AI.

Artificial Intelligence enables the machine to think that is the Machine will be able to take its own decision without any human intervention. The final goal of Artificial intelligence is to create an AI Application, for example: A Self driving Car.

AI is the broad branch computer science.

Machine learning is a subset of Artificial Intelligence that is all the elements of Machine Learning are in Artificial Intelligence but all the elements of Artificial Intelligence are not in Machine Learning. I hope it makes sense.

Machine Learning provides us statistical tools to explore and understand and draw insights from the data. There are 3 types of Machine Learning approaches: Supervised Machine Learning, Unsupervised Machine Learning and Reinforcement/Semi- Supervised Machine Learning.

In supervised Machine Learning we have some past data through which we will predict the future data. The past labelled data would already have the output with it.

In unsupervised Machine Learning we don’t have past labelled data, so we usually approach the data by solving clustering techniques. That is based on the similarity of the data we will try to cluster the data into different groups. K means Clustering is one of the most famous clustering Algorithms.

In reinforcement learning, some part of the data will be labelled, and some will be unlabelled data and the system will slowly learn using the labelled data as more data is fed into the system.

I am learning it in my course curriculum. I know a company Edu4Sure which also provides trainers for the same. The company has its own Certification courses as well. You may visit https://www.edu4sure.com for more details.?

For me, it is my college where I am getting this learning. I am also looking to work upon some practical projects soon.?