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.

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 ...

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

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 ...

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

An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

Machine learning isn’t just something locked up in an academic lab though. Lots of machine learning algorithms are open-source and widely available.