AI Practitioner Worksheet: The Path to AI Success

“AI could contribute up to $15.7 trillion to the global economy by 2030, more than the current output of China and India combined,” according to PwC. The same report estimates that in 2018 alone, AI contributed $2 trillion to the global GDP. Despite the enormous rewards of implementing AI solutions, becoming an AI-driven organization is still a challenge.  In our…

This post was originally part of the DataRobot Community. Visit now to browse discussions and ask questions about DataRobot, AI Platform, data science, and more. This tutorial walks through the process for classifying images with DataRobot using R. https://datarobot.wistia.com/medias/2j3b3pzzzw At the end of this tutorial you will end up with an image classification project and a Markdown document that contains…

Feature engineering is a critical part of the data science lifecycle that, more often than not, determines the success or failure of an AI project. At DataRobot, we know how hard it is to get started with AI, so we decided to take our automated feature engineering capabilities to the next level. DataRobot's Feature Discovery accelerates feature engineering by generating…