It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

discuss some of the most common machine learning algorithms, and explain how those algorithms relate to the other pieces of the puzzle of creating predictive models from historical data.

For example, here are the results when you search Adidas' three stripe logo. Original image has been replaced. Credit: Mashable Mitchell said the aim is to develop algorithms that can think more ...

On this Labor Day, we’re revisiting an episode in which we explore the terms “algorithm,” “machine learning” and “artificial intelligence.” There’s overlap, but they’re not the ...

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 ...

New Mayo Clinic research finds that machine-learning algorithms can help health care staff distinguish the two conditions. In an article published in Mayo Clinic Proceedings, researchers show how ...

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

Reinforcement learning is the process by which a machine learning algorithm, robot, etc. can be programmed to respond to complex, real-time and real-world environments to optimally reach a desired ...

People often use “algorithm,” “machine learning” and “artificial intelligence” interchangeably. There is some overlap, but they’re not the same things. We decided to call up a few ...