Beta: This SDK is supported for production use cases, but we do expect future releases to have some interface changes; see Interface stability. We are keen to hear feedback from you on these SDKs.

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

This beginner-friendly tutorial shows how to create clear, interactive graphs in GlowScript VPython. You’ll learn the basics of setting up plots, graphing data in real time, and customizing axes and ...

Four months after its last funding round, Databricks Inc. today announced that it has closed an extremely late-stage investment worth more than $4 billion. The Series L round was jointly led by ...

Databricks explores funding above $130B even as warnings of an AI bubble intensify. Investor exits from Nvidia highlight rising caution, but AI startup demand stays strong. Databricks expands its data ...

Nov 17 (Reuters) - Data analytics firm Databricks is in talks to raise funds at a valuation of more than $130 billion, about 30% higher than its last financing round two months ago, The Information ...

New Agent Bricks features — Agent-as-a-Judge, Tunable Judges, and Judge Builder — are designed to help enterprises fine-tune agent performance and align AI behavior with business-specific standards.

The 2026 CNBC Disruptor 50 list will be revealed Tuesday, May 19th Databricks, which offers companies tools for building agents on top of their data, plans to spend at least $100 million over multiple ...

The offering is set to allow firms to combine raw tick history or reference data with their enterprise data, to then efficiently build and launch AI production agents to aid investment analytics, risk ...