Azure Machine Learning Studio offers multiple ways to use your data to create ML models. Using Azure ML Designer to create a model The Designer is the quickest way to start with custom machine ...

I like to divide my machine learning education into two eras: I spent the first era learning how to build models with tools like scikit-learn and TensorFlow, which was hard and took forever. I ...

Transfer learning and collective learning enable enterprises to build machine learning models using small data when big data isn't available.

Machine learning (ML) pipelines consist of several steps to train a model, but the term ‘pipeline’ is misleading as it implies a one-way flow of data. Instead, machine learning pipelines are cyclical ...

Here’s how to build a PC for AI and machine learning workloads, so you can keep your data secure and private, and ensure the AI is always ready and waiting for you.

Our understanding of progress in machine learning has been colored by flawed testing data. The 10 most cited AI data sets are riddled with label errors, according to a new study out of MIT, and it ...

While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides.

When developing machine learning models to find patterns in data, researchers across fields typically use separate data sets for model training and testing, which allows them to measure how well their ...

A strategy for machine learning has been developed that exploits the fact that data are often collected in different ways with varying levels of accuracy. The approach was used to build a model ...