Training Machine Learning Models on Amazon SageMaker

You've spent hours fine-tuning your script, and you're racing to get it onto the server before your deadline tomorrow. You're building Naive Bayes, Logistic Regression, XGBoost, KNN, and any model under the sun in your massive for-loop.You've finally ironed out the kinks on your local machine, and you're ready to scale your precious script, but when it starts to run you see … what exactly? How do you know it's working? What would you do if it broke? How do you even know your models are doing what you want them to?