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, ...

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

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

A few months ago, my company, CrowdFlower, ran a machine learning competition on Kaggle. It perfectly highlighted the biggest opportunity (and challenge) with machine learning: What do you do with an ...

Classical machine learning (ML) is a powerful subset of artificial intelligence. Machine learning has advanced from simple pattern recognition in the 1960s to today's advanced use of massive datasets ...

Now that machine learning is becoming more and more mainstream, some design patterns are starting to emerge. As the CEO of CrowdFlower, I’ve worked with many companies building machine learning ...

Three new books warn against turning into the person the algorithm thinks you are. Like a lot of Netflix subscribers, I find that my personal feed tends to be hit or miss. Usually more miss. The ...

Ease of use, more big data than ever, and a proliferation of libraries and toolkits helped machine learning leap ahead for many Until recently, machine learning was an esoteric discipline, used only ...