Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Machine learning’s “learning” process is the sum of the amazing trip these algorithms take in assimilating more data and honing their skills to previously unheard-of accuracy levels.

A new technical paper titled “A Survey on Machine Learning in Hardware Security” was published by researchers at TU Delft. Abstract “Hardware security is currently a very influential domain, where ...

Artificial intelligence and machine learning are closely related yet ultimately different.

How do Machine Learning algorithms handle such large amount of data? This question was originally answered on Quora by Håkon Hapnes Strand.

Which is your favorite Machine Learning algorithm? This question was originally answered on Quora by Carlos Guestrin.

Want to understand how machine learning impacts search? Learn how Google uses machine learning models and algorithms in search.

Machine learning is hard. Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of ...

ADELPHI, Md.-- Army researchers discovered a way to quickly get information to Soldiers in combat using new machine learning techniques. The algorithms will play a significant role in enhancing ...

Data scientists are struggling to make their machine-learning models transparent to comply with upcoming European legislation.