It is estimated that 87% of data science projects never reach production. One of the pitfalls to developing a production-ready machine learning solution is the ability to define if it’s an appropriate tool for solving the problem. Not every problem should be solved with machine learning.
Here’s a guide for reviewing your project to determine if machine learning is a tool that would be useful.
