Evaluating AI systems is one of the most important steps in the AI & NLP development cycle, and often times the most complicated part of deploying a viable solution in an enterprise.

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To help you understand this better, we will learn:

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• When metrics are informative, when they are not, and why
• Understanding what your metrics tell you about your system’s performance
• Incorporating user feedback as an essential part of the evaluation process

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