12 capabilities every cloud machine learning platform should provide to support the complete machine learning lifecycle—and which cloud machine learning platforms provide them.

Matei Zaharia, Apache Spark co-creator and Databricks CTO, talks about adoption patterns, data engineering and data science, using and extending standards, and the next wave of innovation in ...

The newly-open sourced Distributed Machine Learning Toolkit features fast, parallelized, and easy-to-deploy machine learning algorithms ...

How The Deployment Is Critical One of the crucial reasons is that the researchers do not have the right tools or expertise in order to deploy their machine learning models. The domain experts work on ...

It’s one thing to develop a working machine learning model, it’s another to put it to work in an application. Cortex Labs is an early-stage startup with some open-source tooling designed to ...

An emerging trend in cloud deployments is to adopt machine learning (ML) models to characterize end-to-end system performance, and to subsequently help non-system-experts to tune system configurations ...