Intel® AI Analytics Toolkit and XGBoost for Predictive Modeling
AI Tools and XGBoost for Predictive Modeling
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Overview
Explore predictive modeling techniques based on decision trees using AI Tools. Popular decision-tree algorithms are used to examine training challenges when data sizes increase. AI Tools can 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 AI Tools can improve predictive modeling implementations.
Workshop topics include:
- Capabilities of the AI Tools and how to install it
- Decision trees and how to use the AI Tools to create them
- Performance features of XGBoost and how to use them
Accelerate data science and AI pipelines-from preprocessing through machine learning-and provide interoperability for efficient model development.
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