How to generate training data: Faster and better

When you create machine learning models in the real world, as opposed to online courses or Kaggle style competitions, you need to generate the training data yourself. This is the first step in any ML project. And as crucial as it is, it is the one we overlook the most. As a freelance ML engineer, I take on new projects often and face the same problem again and again: How can I generate the training data, faster and better? In this article, I want to share some of the best practices I have discovered on the way and help you boost your productivity.