Involve domain experts. To train many machine learning systems, training data must be labelled. Here, human judgment comes into play for picking the right label and the right examples of that label.

Successfully deploying machine learning By focusing on data, value propositions, and talent, enterprises can get ready to take the next step beyond experimentation. By ...

With all the hype around AI, especially generative AI chatbots, the topic is getting a lot more attention from businesses and the general public. Machine learning (ML), especially deep learning ...

Iterative has launched Machine Learning Engineering Management an open source model deployment and registry tool. MLOps Company Iterative Introduces the First Open, Git-based Machine Learning ...

We called it Machine Learning October Fest. Last week saw the nearly synchronized breakout of a number of news centered around machine learning (ML): The release of PyTorch 1.0 beta from Facebook ...

Collaborative artificial intelligence startup FedML Inc. said today it has closed on a $6 million seed funding round that will help it bring together companies and developers to train, deploy and cust ...

At the upcoming Visual Studio Live!@ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will lead the session "Predicting the Future using Azure Machine Learning," ...

The new interface for Azure’s automated machine learning tool makes creating a model as easy as importing a data set and then telling the service which value to predict. Users don’t need to ...

The app automatically selects and begins training a machine learning model. Photo by Mike Matas, Microsoft. Early customers include The Nature Conservancy, which is using the Lobe app as part of a ...