While on-device machine learning has become increasingly common, it’s still far from ideal. This is especially true for complex problems like voice recognition and image classification.

Machine learning depends on a number of algorithms for turning a data set into a model. Which algorithm works best depends on the kind of problem you’re solving, the computing resources ...

Other common machine learning regression algorithms (short of neural networks) ... If the test data set was never used for training, it is sometimes called the holdout data set.

Datasets in AI and machine learning contain many flaws. Some might be fixable, ... Common Voice, Mozilla’s effort to build an open source collection of transcribed speech data, ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

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 ...

In retail, machine learning can be used for data analysis to help businesses make better decisions about inventory and pricing. Personalization will become more common, with retailers using ...