Register now for this virtual workshop: Using Intel AI Kit and XGBoost for Predictive Modeling

Be present at this live virtual workshop – Using Intel AI Kit and XGBoost for Predictive Modeling

Get hands on experience using the Intel® oneAPI Analytics Toolkit (AI Kit) to explore predictive modeling techniques based on decision trees. This workshop takes popular decision-tree algorithms—useful for regression and classification tasks—and addresses the challenge of handling training when data sizes increase.

Starting with a basic decision tree and advancing to techniques that balance the tradeoffs of speed and accuracy, we'll explore the ways that Intel AI Kit improves implementations of predictive modeling.

Intel® DevCloud will be used to show how these algorithms are implemented.

The objectives of the workshop include:

Learn the capabilities of Intel AI Kit and its offerings
Discover three separate ways to install and use the Intel AI Kit
Review the fundamentals of decision trees and see how to create them using Intel AI Kit
Explore advanced forms of decision trees and their advantages
See how the performance features of XGBoost can accelerate operations with minimal sacrifice of accuracy

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Using Intel AI Kit and XGBoost for Predictive Modeling

Be present at this live virtual workshop – Using Intel AI Kit and XGBoost for Predictive Modeling

Contact Information

Ben Odom

Bob Chesebrough