Human-in-the-loop machine learning takes advantage of human feedback to eliminate errors in training data and improve the accuracy of models. Machine learning models are often far from perfect. When ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

The promised gains in efficiency and output often feel just out of reach, as pilots stall, models underperform and even ...

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 ...

Paco Nathan is a unicorn. It's a cliche, but gets the point across for someone who is equally versed in discussing AI with White House officials and Microsoft product managers, working on big data ...

'Human in the Loop’ Learning (HITL), describes a setup whereby a learning machine or computer system can incorporate selected human inputs or labels into its inferences or learning process, and ...

Machine​‍​‌‍​‍‌​‍​‌‍​‍‌ learning models are highly influenced by the data they are trained on in terms of their performance, ...

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...