A Structured Approach To Building a Machine Learning Model - KDnuggets

Building a machine learning model involves a lot of steps - these steps are not limited to objective guidelines and require a more elaborative approach and depth based on the complexity of the business problem. The business problem can be solved in multiple ways - you need to decide whether the machine learning solution is really needed or it can be solved with a simple heuristic? Is there already a solution that is currently serving the business problem? If so, you need to do a thorough analysis and understand its limitations and seek the machine learning solution that can best overcome them. The next step should be to compare the two solutions - does the proposed machine learning solution also come with its limitations.