Importance of Domain Knowledge for Machine Learning

Developing machine learning models involves a lot of steps. Whether you’re working with labeled or unlabeled data, you might think numbers are just numbers, and it doesn’t matter what each of the features of a dataset signifies when it comes to spitting out insights with the potential for true impact. It’s true that there are tons of great machine learning libraries out there like scikit-learn which make it straightforward to gather up some data and plop them into a cookie-cutter model. Pretty quickly, you might start to think there’s no problem you can’t solve with machine learning. Frankly, that’s a beginner’s mindset. You are not Importance of Domain Knowledge for Machine Learning?