In an era where cyber threats are escalating in complexity and frequency, the integration of machine learning (ML) into ...

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 ...

Unstructured data — information that doesn’t follow conventional models or fit into structured database formats — represents more than 80% of all new enterprise data.

Learn Excel, Machine Learning, Python, and many more data science tools with this $50 online class bundle.

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

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 ...

Level 2 is continual learning: ML systems that incorporate new data and update in real-time, for which she defines real-time to be in the order of minutes.

Before data scientists can run machine learning models to tease out insights, they’re first going to need to transform the data—reformatting it or perhaps correcting it—so it’s in a ...

Also known as “fine-tuning,” transfer learning is helpful in settings where you have little data on the task of interest but abundant data on a related problem. The way it works is that you ...