Modeling: Predictive data-mining models involve the application of supervised ML algorithms on retrospective data where the class label is known (for example, the variable you wish to predict ...

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

Two things control the application of corrections: the optimization algorithm ... learning is the process of adapting a model trained on one set of data to another set of data.

It’s true that an algorithm itself is quantitative – it boils down to a sequence of arithmetic steps for solving a problem. The danger is that these algorithms, which are trained on data ...

Java programmers use data ... algorithms. Once you’ve got these basics, you’ll be ready to learn about searching and sorting with one-dimensional arrays, in Part 2. [A] mathematical model ...

However, using their new algorithm, Zhang and his collaborators unearthed a hypergraph model that accurately captured connections in the EEG data among three or more regions. That suggests higher ...

A generation ago, that meant visiting a few campuses, ponying up application fees ... colleges have been making heavy use of big data algorithms. Apollo Education Group, the parent company ...

Other researchers have shown how ordinary deep-learning algorithms, such as those used to classify images, can be manipulated by attacks on the training data ... AI model might affect many ...

Smartwatches are among the wearable devices that gather health data ... learning model on ones that are hard to gather. By improving pretraining, we are making machine-learning algorithms better ...