The Only 3 ML Tools You Need. At a rapid pace, many machine learning…

At a rapid pace, many machine learning techniques have moved from proof of concepts to powering crucial pieces of technology that people rely on daily. In attempts to capture this newly unlocked value, many teams have found themselves caught up in the fervor of productionizing machine learning in their product without the right tools to do so successfully. The truth is, we are in the early innings of defining what the right tooling suite will look like for building, deploying, and iterating on machine learning models. In this piece we will talk about the only 3 ML tools you need to make your team successful in applying machine learning in your product. Before we jump into our ML stack recommendations, let's turn our attention quickly to how the tooling that the software engineering industry has settled on.