Explore predictive modeling techniques based on decision trees using the Intel® AI Analytics Toolkit (AI Kit). Popular decision-tree algorithms are used to examine training challenges when data sizes increase. The AI Kit can help circumvent the challenges.
Starting with a basic decision tree and advancing to techniques that balance the tradeoffs of speed and accuracy, this workshop—hosted on Intel® Developer Cloud—shows how the AI Kit can improve predictive modeling implementations.
Workshop topics include:
- Capabilities of the AI Kit and how to install it
- Decision trees and how to use the AI Kit to create them
- Performance features of XGBoost and how to use them
Intel® AI Analytics Toolkit
Accelerate end-to-end machine learning and data science pipelines with optimized deep learning frameworks and high-performing Python* libraries.
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