It’s one of mankind’s oldest questions - how long will it run? How long will I live? Predicting the length of life has occupied thinkers, scientists, and everybody else throughout history.
Tags: survivalThu, Jan 24, 2019
In many machine learning modeling techniques, the goal is to find model parameters which produce the least error in predicting outcomes given a particular set of data on which the model can be trained. In Bayesian modeling, the underlying philosophy changes slightly, and the goal becomes to find model parameters which are most likely to explain the observed data. The reason “Bayesian” is attached to this underlying thought is that one can ask the mathematical question “Given the data, which parameters are most likely to explain the outcome?”
Tags: bayesian, modelingThu, Jan 10, 2019
Here at Open Data Group, we’re big proponents of delivering software and models as containerized microservices. In fact, it’s a core part of our value proposition! Because we find ourselves doing this a lot, our team has standardized around a systematic approach using existing tooling to allow us to rapidly prototype and develop production-grade containerized applications. In this blog post, I’ll talk about three parts to this approach, specifically focusing on applications implemented in Go.
Tags: docker, swagger, golang