Building good Machine Learning applications is like making Michelin-style dishes. Having a well organized and managed kitchen is critical, but there are too many options to choose from. In this article, I highlight the tools I found useful in delivering professional projects and share a few thoughts and alternatives. Like any tooling discussion, the list is not exhaustive. I try to focus on the most useful and simplest tools.

Deep learning is all the rage today, but what's in it for the typical enterprise? That's the question we try to answer in this edition of the Talking Data podcast. Deep learning use cases include some truly cutting-edge applications, like self-driving cars and computer vision. But while the big players in tech, like Amazon, Facebook and Google, have clear use cases for these tools, the upside for most businesses is less clear. That being said, some deep learning use cases could help everyday enterprises sharpen their operations.