Managing Model Ensembles With MLflow
In machine learning, an ensemble is a collection of diverse models that provide more predictive power together than any single model would on…
Need for Data-centric ML Platforms
This blog is the first in a series on MLOps and Model Governance. The next blog will be by Joseph Bradley and will…
Optimizing User Defined Functions with Apache Spark™ and R in the Real World: Scaling Pitch Scenario Analysis with the Minnesota Twins Part 2
Introduction In part 1 we talked about how Baseball Operations for the Minnesota Twins wanted to run up to 20k simulations on 15…
How the Minnesota Twins Scaled Pitch Scenario Analysis to Measure Player Performance – Part 1
Statistical Analysis in the Game of Baseball A single pitch in Major League Baseball (MLB) generates tens of megabytes of data, from pitch…
