Posted by David Langstroth on July 19, 2018 in Research, Faculty, HCI, Visualization, Graphics, Big Data & Machine Learning Dr. Fernando Paulovich (Danny Abriel photos) Dr. Fernando Paulovich arrived ...

Machine learning algorithms can be trained with real-world fraud data, allowing the system to classify suspicious fraud cases far more accurately. Inventory optimization.

Machine-learning algorithms use statistics to find patterns in massive* amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you.

To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the algorithm to recognize those health outcomes.

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.

Lots of machine learning algorithms are open-source and widely available. And they’re already being used for many things that influence our lives, in large and small ways.

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...