How to Collect Data for Machine Learning: A Step-by-Step Guide

In artificial intelligence, there is an ironclad rule that every engineer learns early: “Garbage in, garbage out.” Your machine learning (ML) model is only as sophisticated as the data you feed it. You can deploy the most advanced neural network architecture in existence, but if the training data is noisy, biased, or incomplete, the predictions will be worthless. While algorithms often get all the hype, professional data scientists actually spend roughly 80% of their time on data collection and preparation.