Machine learning (ML) is about making predictions about new data based on old data. The quality of any machine-learning algorithm is ultimately determined by the quality of those predictions. However, ...

You build a ML pipeline from a selection of extension methods that implement statistical and machine learning algorithms, load the data, and use Fit() to train your model.

A team from Google Research has open-sourced Model Search, an automated machine learning (AutoML) platform for designing deep-learning models. Experimental results show that the system produces ...

A random forest algorithm ML tool might be used for a recommendation system, for example. Sources of Training Data for Machine Learning Training data is an important part of machine learning.

“Strong Compute took our core algorithm training from thirty hours to five minutes, training hundreds of terabytes of data,” said Miles Penn, the CEO of MTailor, which specializes in creating ...