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RISK MANAGEMENT MAGAZINE
Vol. 16, Issue 2
May August 2021EXCERPT
https://www.aifirm.it/newsletter/progettoeditoriale/Why segmentation matters: a Machine
Learning approach for predicting loan
defaults
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What is a machine learning approach?
A machine learning approach refers to methodologies and techniques used to develop algorithms that enable computers to learn from and make predictions or decisions based on data.
Who is required to file a machine learning approach?
Individuals or organizations that are utilizing machine learning models for commercial purposes or must adhere to regulatory requirements related to data processing and algorithmic accountability.
How to fill out a machine learning approach?
Filling out a machine learning approach typically involves providing information about the algorithm, data sources, intended use, risk assessment, and compliance with relevant regulations.
What is the purpose of a machine learning approach?
The purpose of a machine learning approach is to enhance decision-making processes, automate tasks, improve accuracy in predictions, and derive insights from large volumes of data.
What information must be reported on a machine learning approach?
Information that must be reported includes model descriptions, data sources, performance metrics, ethical considerations, and potential biases.
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