Evaluate AI Risks: Adopt Smart Predictions is a beginner-level course designed for project managers, analysts, and business leaders who need to make smart decisions about using AI tools. In a world full of AI hype, how do you prove if a risk prediction model is a valuable asset or a dangerous liability? This course teaches you to look past simple accuracy and use the metrics that matter.

Evaluate AI Risks: Adopt Smart Predictions

位教师:LearningMate
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您将学到什么
Evaluate AI risk predictions using performance metrics like precision and recall to make data-driven model adoption decisions.
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要了解的详细信息
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该课程共有3个模块
This foundational module introduces the critical concepts needed to evaluate any AI prediction model. You will learn why simple accuracy is often misleading and discover how to frame a model’s performance using a confusion matrix. By the end of this module, you will be able to define precision and recall, the two most important metrics for understanding a model's real-world effectiveness, and classify prediction outcomes correctly.
涵盖的内容
1篇阅读材料2个作业
In this module, you will move from concepts to calculation. You will learn the specific formulas for precision and recall and apply them to a real-world dataset. This hands-on process will transform the raw output of a confusion matrix into two powerful numbers that tell a clear story about the model's performance.
涵盖的内容
1个视频1篇阅读材料2个作业
In this final module, you will learn to synthesize your metrics into a clear, defensible business recommendation. Calculating the numbers is not sufficient; you must interpret what they mean for the project and make the final call: adopt the model, reject it, or send it back for retraining.
涵盖的内容
1个视频1篇阅读材料2个作业
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