Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

Machine-learning algorithms find and apply patterns in data. ... To clear things up, I drew you this flowchart on the back of an envelope so you can work out whether something is using AI or not.

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

How do Machine Learning algorithms handle such large amount of data? This question was originally answered on Quora by Håkon Hapnes Strand. Subscribe To Newsletters. Subscribe: $1.50/week.

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.

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