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 ...

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.

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

“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 ...

ESCWA, PwC Middle East, and Microsoft collaborate with the Ministry for this initiative. The Ministry of Labour (MoL), in partnership with United Nations Economic and Social Commission for Western ...

Overfitted algorithms lead to an overconfident model when the learner is more confident in its prediction than what the data depicts. For the model, the whole source of truth is the training data.

The model is built on a scientific model using state-of-the-art Artificial Intelligence. Dr. Rola Dashti, UN Under-Secretary General and Executive Secretary of the United Nations Economic and Social ...