• Demystifying the ML, AI, and Data Science development ecosystem (Part 1: Build)

    This blog post is part 1 of a 3 part series explaining the landscape of what we call the quantitative oriented developer (QoD) pipeline; encompassing machine learning, artificial intelligence, and data science. There are already many tutorials for getting started with individual modeling frameworks or algorithms, but explanations outlining how all of the moving parts fit together in these broader workflows are lacking.