What is a supervised learning problem
Answers
Answer:
Hey mate here is to our answer
Explanation:
The majority of practical machine learning uses supervised learning.
Supervised learning is where you have input variables (x) and an output variable (Y) and you use an algorithm to learn the mapping function from the input to the output.
Y = f(X)
The goal is to approximate the mapping function so well that when you have new input data (x) that you can predict the output variables (Y) for that data.
It is called supervised learning because the process of an algorithm learning from the training dataset can be thought of as a teacher supervising the learning process.
Answer:
when more people use goo gle tran slate , the algorithm gets more data to learn from and its accu racy improves . this is known as sup ervised learn ing .
Explanation: