The objective is to determine whether a given data point fits an existing pattern or if it is an outlier or anomaly, and as a result find what fits with existing data and what doesn’t.

Predictive analytics is the process of using data to find patterns, trends and relationships. The purpose of predictive analytics is to solve a problem by using data to deepen our understanding and ...

Sumo Logic's answer combines machine learning and pattern recognition to detect anomalous events in your data. Organizations ... you can perform a search to find it. “CIOs don’t care about ...

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

Did it seem plausible? That is because humans love to find patterns, especially in large data sets. We don't even know we're doing it (notice how Mary can show up on a potato chip?) Yet ...

A KAUST team is taking a creative, combined deep learning approach that uses data from multiple sources to teach algorithms how to find patterns between genes and diseases. Machine learning uses ...

Since artificial neural networks are excellent at learning how to find patterns in enormous amounts of complex data, they are used in applications such as image recognition. However, this machine ...

Microsoft went a step further in Excel 2013 and created Flash Fill. This new feature recognizes patterns in your data and will finish tedious tasks for you. Produced by Sara Silverstein Follow BI ...

A new study unearthed patterns in datasets collected on ... applied a fresh perspective to vast amounts of data on rice plants to find better ways to predict plant performance and new insights ...