In general, ML algorithms build relationships between inputs and outputs by leveraging statistical properties of the data. As researchers expose the algorithm to more data, it learns and adapts.

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 ...

Once a marketplace for machine-learning algorithms that companies could find and insert into their applications, Algorithmia is now focused on helping companies implement those algorithms into ...

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