Apache Spark is a hugely popular open source platform for data science and machine learning, commercially supported by Databricks. Spark supports in-memory processing and scales well via clustering.

While there are many more machine learning frameworks available than are mentioned in this article, the frameworks mentioned here are well-supported and robust, and will help users to succeed in their ...

Uber AI has open-sourced Fiber, a new library which aims to empower users in implementing large-scale machine learning computation on computer clusters. The main objectives of the library are to ...

Over the last couple of decades, those looking for a cluster management platform faced no shortage of choices. However, large-scale clusters are being asked to operate in different ways, namely by ...

And it depends on which part of machine learning you want to master. So, for the sake of concreteness, let's assume that we're talking about a junior engineer who has four years of university and ...

At its core, what Run.AI offers is a new virtualization layer for distributed machine learning tasks that can across a large number of machines.

Training a machine learning algorithm to accurately solve complex problems requires large amounts of data. Previous articles in this series discussed an exascale-capable machine learning algorithm and ...