Drifter-ML is a ML model testing tool specifically written for the scikit-learn library focused on data drift detection and management in machine learning models. It empowers you to monitor and ...

However, a common split is 70% for training, 15% for validation and 15% for testing. In some cases, an 80-20% split for training and testing is also used.

Openlayer Inc., the creator of a novel platform for testing artificial intelligence and machine learning models, said today it has closed on a $4.8 million seed funding round.

The company plans to employ 20 experts in AI, deep learning and engineering by the end of 2020, with a view to more than double that number over three years.

While the most basic need for synthetic data generation stems from testing applications, automations, and integrations, demand is growing as data science testing requires test data for machine ...

Human-guided machine learning can improve computing intelligence, and it can accurately assist humans in various tasks. In education research, artificial intelligence (AI) is applicable in many ...