Introduction-

Supervised Learning is a kind of machine learning where the machines are introduced to ‘labelled’ training data, and then the machines use that data to predict the output. The algorithm’s goal is to map an input with output based on the provided input-output pairs.

There are two types of Supervised Learning algorithms- Regression and Classification. A regression algorithm is used when there is a relationship between the input and output variables-E.g. weather forecast, demand trends, etc. A classification algorithm is used when the variables can be put into categories. E.g. Yes/No, Male/Female/Transgender, etc.

Python libraries are used to create machine learning algorithms. Scikit Learn, NumPy, SciPy, Pandas are some of the popular python libraries.

Why is Supervised Learning the new trend?

Machines have made work and living easier. Today there is certain work deemed unnecessary to be performed by humans because machines are better at it and more affordable than human labour. Therefore, the demand for machine learning is surging. Humans are teaching machines new and complex functions. Supervised Learning is essential to creating skilled machines with extensive data used to improve the output.

Advantages-

• Supervised Learning equips the machine to predict outputs based on past experiences.
• The technology can be used for risk assessment, image classification, spam filtering, fraud detection etc.
• Its technological applications in the real world can change the world by doing things that would require little or no human effort. 
• Supervised Learning can also be used for designing well equipped unmanned defence equipment.

Conclusion-

Supervised Learning is the sign of the times. It is a discipline that attracts a greater audience due to the broad-scale areas of applicability. It can be used for detecting financial crises, traffic alerts, medical diagnoses etc. The discipline offers knowledge about using large amounts of data and using it to predict outputs, which is beyond the human mind. However, it is the human mind that came up with the concept.