What is Supervised and Unsupervised Machine Learning?

What is Supervised Machine Learning?

It’s an approaches to create AI system, where machine are trained using the supervised input data, and behalf of that input data, machines provide the output.

For Example: Any new trainee are trained under the supervision of the trainer/expert’s. 

Real time example: Supervised learning can be used for

    • Predictive analytics (house prices, stock exchange prices, etc.)
    • Risk Assessment
    • Image classification
    • Fraud Detection
    • Object detection
    • Spam filtering etc. 

What is Unsupervised Machine Learning?

“Unsupervised” mean no human intervention, it is a type of machine learning in which the algorithms used to analyze and cluster unlabeled data sets without any explicit instruction.