Difference between revisions of "Evaluation"
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Revision as of 08:12, 4 September 2020
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- Evaluation Measures - Classification Performance
- Benchmarks
- Train, Validate, and Test
- Model Monitoring
- Bias and Variances
- Explainable Artificial Intelligence (XAI)
- Imbalanced Data
Many products today leverage artificial intelligence for a wide range of industries, from healthcare to marketing. However, most business leaders who need to make strategic and procurement decisions about these technologies have no formal AI background or academic training in data science. The purpose of this article is to give business people with no AI expertise a general guideline on how to assess an AI-related product to help decide whether it is potentially relevant to their business. [http://emerj.com/ai-sector-overviews/how-to-assess-an-artificial-intelligence-product-or-solution-for-non-experts/
