Technical Blog
Tag: XGBoost
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Oct 13, 2022
Upcoming Workshop: Applications of AI for Anomaly Detection
Learn to detect data abnormalities before they impact your business by using XGBoost, autoencoders, and GANs. Workshops are available in both the NALA and EMEA...
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Technical Walkthrough
Oct 05, 2022
Explain Your Machine Learning Model Predictions with GPU-Accelerated SHAP
Machine learning (ML) is increasingly used across industries. Fraud detection, demand sensing, and credit underwriting are a few examples of specific use...
15 MIN READ
Technical Walkthrough
Feb 02, 2022
Real-time Serving for XGBoost, Scikit-Learn RandomForest, LightGBM, and More
The success of deep neural networks in multiple areas has prompted a great deal of thought and effort on how to deploy these models for use in real-world...
7 MIN READ
Technical Walkthrough
Jan 13, 2022
Accelerating Trustworthy AI for Credit Risk Management
On April 21, 2021, the EU Commission of the European Union issued a proposal for a regulation to harmonize the rules governing the design and marketing of AI...
12 MIN READ
News
Dec 15, 2021
NVIDIA DLI Teaches Supervised and Unsupervised Anomaly Detection
The NVIDIA Deep Learning Institute (DLI) is offering instructor-led, hands-on training on how to build applications of AI for anomaly detection. Anomaly...
5 MIN READ
News
Aug 02, 2021
Learn How to Build Applications of AI for Anomaly Detection
Whether you need to monitor cybersecurity threats, fraudulent financial transactions, product defects, or equipment health, artificial intelligence can help you...
2 MIN READ