Three Steps For A Successful Machine Learning Project

The first step, asking the right question, can often be the most difficult part of your machine learning adventure. The purpose of any ML project is to answer a question. "Who wrote this", "What is this", "What will the price be", "What patterns are there"? Having a concrete question you're focused on answering allows you to clearly define your objective function and helps you identify the data you need to actually do the work. Without asking the right question, your team could sink countless hours into collecting, refining, and modeling data that produces a useless product.