[White Paper Available] What is the Relationship Between Training Data and Machine Learning?

Having a large amount of training data is not necessarily good. What constitutes training data that enhances AI accuracy?

In machine learning, which is a method of AI, an essential factor for improving accuracy is the "quality of training data." For humans, having two or three examples of training data may seem sufficient for making judgments to some extent. However, for AI, deriving accurate answers from such limited data is challenging. Why is that the case? This document will explain the mechanism of machine learning and the reasons in detail. [Contents] ■ The 3 Steps of AI (Artificial Intelligence) - Training Data as an Important "Input" ■ What Training Data Means in AI's Machine Learning ■ The Relationship Between Training Data and Machine Learning - What Machine Learning is Doing ■ Challenges in Creating Appropriate Training Data ■ The Unique Challenges of "Fraud Investigation" and "Auditing" Supported by FRONTEO's AI, Strengths and Usage of Each AI ■ AI Specialized for the Purpose of "Discovery," FRONTEO's "KIBIT" *For more details, please download the PDF or feel free to contact us.

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