The AI (artificial intelligence, data science & machine learning) team here at Iterable strives to deliver high-quality, updated machine learning models to our customers. However, even if we’ve made a great model, how can we decide before deployment that this model is good enough to deploy? How can we avoid deploying “bad” models (models which […]
