Data Science

All models are wrong. Some models are useful. — George E.P. Box

I attended Wolfram’s “Building a Data Science Pipeline” webinar today, presented by Abrita Chakravarty. Here’s the diagram of the pipeline presented. Pretty conventional. (Image copyright Wolfram Research) The primary example used was a simple recipe classification project: classifying list of ingredients in the pantry by cuisine type to determine which recipes might work with what is on hand. (Yes, a little forced, I know.) Chakravarty walked through importing data (in JSON format), doing a little tidying up, partitioning the data into training and testing sets, running a few iterations of training, testing, and interpreting results. ... Read more …

I would think of it as a violation of my professional ethics to describe the probability of something as 0. — Yaron Minsky