See our previous article, in which we understand about what machine learning is.
In this article we are going to learn about what the supervised learning is?
supervised learning the machine learn from the example or we can say that the presentation of the example.
In simple words we can say that the machine takes some training data as a Input and the feedback from the humans and then decide the relationship between the given input and output.
Consider this simple example, your teacher gives some input data and output data, your job is to find relationship between them. Your teacher gives input data as 1 and output data as 2.
So students gives relationship like add 1 to the input, multiply input by 2 or we can say that twice the input. Same manner machine learning do. It takes input and output and find relationship between them.
In supervised learning, we can say that the machine take the historical data of house selling price and then predict the future house selling price. We can also consider the weather forecast as a part of supervised learning.
In simple words we can say that supervised learning is used when the output data is known and we want to predict some new data.
Categories Of Supervised Learning
- Classification task
- Regression task
Hope this article clears the basic understanding of what supervised learning is.
Happy Learning