There are problems where inductive learning is not a good idea. It is important when to use and when not to use supervised machine learning.
4 problems where inductive learning might be a good idea :
Problems where there is no human expert. If people do not know the answer they cannot write a program to solve it. These are areas of true discovery.
Humans can perform the task but no one can describe how to do it. There are problems where humans can do things that computer cannot do or do well. Examples include riding a bike or driving a car.
Problems where the desired function changes frequently. Humans could describe it and they could write a program to do it, but the problem changes too often. It is not cost effective. Examples include the stock market.
Problems where each user needs a custom function. It is not cost effective to write a custom program for each user. Example is recommendations of movies or books on Netflix or Amazon.
