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Deploy a Fraud Detection XGBoost Model with NVIDIA Triton
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Deploy a Fraud Detection XGBoost Model with NVIDIA Triton
AI Practitioner
Overview
Fraud Detection with RAPIDS and Forest Inference Library
Tools, Libraries, and Frameworks Used
NVIDIA RAPIDS Overview
RAPIDS for Data Visualization
RAPIDS for ML
Step #1: Data Exploration and Training
Lab Basics
Explore Data and Train the Model
Triton Inference Server Overview
Deploy the Trained Model on the Triton Inference Server
Triton Inference Server
Triton Inference FIL Backend
XGBoost Model Storage
Step #2: Starting the Triton Inference Server
Step #3: Client Application
Next Steps
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Last updated on Feb 2, 2023.
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