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 ...

There are generally two types of machine learning approaches (Figure 1). The first is supervised learning, where a model is built and datasets are provided to solve a particular problem using ...

eWEEK DATA POINTS: An enterprise can take six to 18 months to deploy a single machine learning model to production. By that time, requirements can change, and time and energy are lost.

Arnab Gupta, CEO of Opera Solutions, has developed principles of application design using machine learning that respect the virtuosity of the people who are involved. These principles can be ...

Today’s data scientists and machine learning engineers now have a wide range of choices for how they build models to address the various patterns of AI for their particular needs.

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 ...

Google spent plenty of time at its I/O developer conference earlier this month talking about how we're entering the age of AI. Today, the company's humble spreadsheet app Sheets is getting an ...

That is why SageMaker HyperPod continues to innovate to make it easier, faster, and more cost-efficient for customers to build, train, and deploy these models at scale with new innovations, including: ...