You can't build, validate, or measure the success of a machine learning model without the right amounts and types of data, notes Yiwen Huang, CEO of r2.ai, an automated machine learning platform.

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

Many businesses strive to be data-driven organizations and use data, predictive analytics, and machine learning models to aid decision-making. This overarching goal has driven several use cases: ...

By 2030, it’s expected that the market for streaming data will eclipse $73 billion, growing nearly 20% each year until then. More impressively, the machine learning market—which brought in $15 ...

Quality data is at the heart of the success of enterprise artificial intelligence (AI). And accordingly, it remains the main source of challenges for companies that want to apply machine learning ...

Poor quality, unusable data is a burden for those at the end of the data’s journey. These are the data users who use it to build models and contribute to other profit-generating activities.

But AI is not only about large data sets, and research in “small data” approaches has grown extensively over the past decade—with so-called transfer learning as an especially promising example.

Machine learning, or ML, is growing in importance for enterprises that want to use their data to improve their customer experience, develop better products and more. But before an enterprise can ...

Data, analytics, machine learning, ... So if organizations that work with Amazon or Google want to enable them to improve their machine learning models, they would have to get consent.

And we have not even touched upon Level 2 -- machine learning systems that incorporate new data and update in real-time. However, to come full circle, if Huyen's experience is anything to go by ...

Learn machine learning algorithms, and statistical analysis to understand complex data, and leverage it to make informed business decisions. As part of the Rutgers Stackable Business Innovation ...