Stan is a state-of-the-art platform for statistical modeling
What kind of problems does Stan / Bayesian inference beat the much more hyped Tensorflow / deep learning approach?Often you hear that deep learning is best at unstructured data (images, sound and recently raw text) and boosted trees / XG boost for tabular data.