Last year, we published the Big Book of MLOps, outlining guiding principles, design considerations, and reference architectures for Machine Learning Operations (MLOps). Since...

As data enthusiasts, we love uncovering stories in datasets. With Posit's RStudio Desktop and Databricks, you can analyze data with dplyr, create impressive...

The historic surge of interest in large language models (LLMs) since ChatGPT launched to the public late last year has made the topic...

Notebooks are a popular way to start working with data quickly without configuring a complicated environment. Notebook authors can quickly go from interactive...

Here at Databricks, we have helped thousands of customers put Machine Learning (ML) into production. Shell has over 160 active AI projects saving...

In machine learning, an ensemble is a collection of diverse models that provide more predictive power together than any single model would on...

This blog is the first in a series on MLOps and Model Governance. The next blog will be by Joseph Bradley and will...

Introduction In part 1 we talked about how Baseball Operations for the Minnesota Twins wanted to run up to 20k simulations on 15...

Statistical Analysis in the Game of Baseball A single pitch in Major League Baseball (MLB) generates tens of megabytes of data, from pitch...