By integrating LoRa technology with distributed machine learning, the network connectivity of green intelligent transportation systems can be optimized.

Machine learning programming is an in-demand skill. Learn how to program an ML application with Python in this tutorial.

The future of machine learning is distributed If you are familiar with ML model deployment, you may know about PMML and PFA. PMML and PFA are existing standards for packaging ML models for deployment.

Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.

Google today announced the launch of version 0.8 of TensorFlow, its open source library for doing the hard computation work that makes machine learning ...

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.

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 ...