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.

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 ...

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 ...

Japanese heavyweight NTT has come up with a way to carry out coordinated machine learning on multiple edge servers. It is similar to a blockchain or an artificial neural network, in that it is ...

Microsoft today announced the release of a new open-source machine learning toolkit that goes by the name DMTK. The toolkit contains a framework for training models on multiple servers, a topic ...

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

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning models using shared data without compromising privacy.