AI Problem Framing

by Daniel Becker Data Scientist | Technical Product Director at DataRobot Everyone expects machine learning models to make accurate predictions. At DataRobot, we’ve helped our users develop models to make a wide range of predictions, such as: Which customers will cancel their service? Which baseball players will become superstars? What fewer people realize is that machine learning models can not…

Common Challenges of Trusting Your AI blog post will explore some of the biggest obstacles to earning trust in AI systems.

DataRobot has long believed that to democratize machine learning (ML) on the path to Augmented Intelligence, any user must have seamless access to learning — for example, how to prepare, create, explore, deploy, monitor, and consume ML models. Those already familiar with the DataRobot experience are also familiar with our in-app documentation that makes it easy to keep up with…