Game-playing machine learning is strongly successful for checkers, chess, shogi, and Go, having beaten human world ... the most common algorithms are Naive Bayes, Decision Tree, Logistic ...

Machine-learning algorithms can be applied to data on brain activity in people with depression in order to find such associations. However, most studies have focused only on specific subtypes of ...

and how deep-learning algorithms find patterns in data. We’ve also covered how these technologies affect people’s lives: how they can perpetuate injustice in hiring, retail, and security ...

Armed with this data, the researchers used a machine-learning algorithm to spot correlations between depression and image properties. The researchers found that depressed individuals tend to ...

Whether it’s machine-learning ... algorithms are often marketed as drawing on the sum of all human knowledge. Matute and Vicente’s study seems to back this idea up in a secondary finding ...