Model Chaining
Definition
Model chaining allows for combining different models to take advantage of their strengths, enabling more accurate predictions and insights by processing data through various specialized models sequentially.
When Model Chaining is used
Complex predictive analytics
Which positions need this?
Data Scientists
Problem
Limitations in single model performance for complex tasks.
Example of how Model Chaining is used in AI
A fraud detection system chains a classification model with an anomaly detection model to enhance accuracy in identifying fraudulent transactions.
.
ABOUT US
Hands-On Mastery For AI: Elevate Your Skills with GTM Workshops
Phone
650 770 1729
Email Address
INFO@GTMWORKSHOPS.COM
© Copyrights, 2024. GTM Workshops. All Rights Reserved