Tech companies are investing heavily in machine learning, so knowing how to train and work with models is becoming essential for developers. This article gets you started with machine learning in ...

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 ...

When we talk about machine learning, we’re mostly referring to extremely clever algorithms. In 1950 mathematician Alan Turing argued that it’s a waste of time to ask whether machines can think.

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

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

River flow: New machine learning methods could improve environmental predictions Algorithm is 'taught' rules of the physical world to help researchers make better predictions Date: June 23, 2021 ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

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