Neural Networks in Python: From Sklearn to PyTorch and Probabilistic Neural Networks

ML needs to account for uncertainty! Have you heard of probabilistic programming? It's a programming paradigm in which you can easily specify probabilistic models and perform inference on them. These languages greatly simplify the task of creating systems that handle uncertainty. For example, Pyro (from Uber AI Labs) enables flexible and expressive deep probabilistic modeling, unifying the best of modern deep learning and Bayesian modeling. And while we won't touch on probabilistic programming in this tutorial, you may want to know why probabilistic approaches are so needed in ML and why these languages are growing so quickly.