“Graph has proven to accelerate and improve ML learning and performance, but the learning curve to use the APIs and libraries to make that happen has proven very steep for many data scientists,” said ...

Amazon touts Neptune ML as a way to make easy, fast, and accurate predictions on graphs with graph neural networks (GNNs). Neptune ML is powered by Amazon SageMaker and the open source Deep Graph ...

Google uses machine learning and graphs to deliver search results. Most search engines do not. Weaviate wants to change that. Written by George Anadiotis, Contributor April 7, 2021 at 1:21 p.m. PT ...

The goal of this research is to detect machine learning model uncertainty and mitigate its effects on the quality of model inference.

Machine learning is becoming an important tool in many industries and fields of science. But ML research and product development present several challenges that, if not addressed, can steer your ...

Active learning is an ML method in which models “ask” for the information they need to perform better. This method ensures that a model is trained only on the data most likely to increase its ...

Achtman discussed the notebook extension in the context of ML.NET's Model Builder, a UI tooling extension that leverages Automated Machine Learning (AutoML) to train and consume custom ML.NET models ...

Technology research firm Gartner, Inc. has estimated that 85% of artificial intelligence (AI) and machine learning (ML) projects fail to produce a return for the business. The reasons often cited ...

Model Builder is a UI tool in Visual Studio that helps devs build, train and consume custom machine learning models in those apps. Heading the highlights of ML.NET 2.0 are new APIs for working with ...