| Description |
1 online resource (6 pages) |
| Note |
Reprint #65413. |
| Summary |
Today's AI developers struggle to predict which algorithms will work. AI lacks a basis for inference: a solid foundation on which to base predictions and decisions. This makes AI tough to explain, creates mistrust, and dooms many AI models to fail in deployment. However, help for AI teams and projects is available from an unlikely source: classical statistics. This article explains how business leaders can apply statistical methods and engage statistics experts to improve results. |
| Subject |
Artificial intelligence.
|
|
Statistics.
|
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Intelligence artificielle. |
|
Statistique. |
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artificial intelligence. |
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statistics. |
| Added Author |
Hoerl, Roger Wesley, author.
|
| Standard No. |
53863MIT65413 |
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