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Understanding ML model performance and behavior is a non-trivial process, given the intrisic opacity of ML algorithms. Performance summary statistics such as AUC, RMSE, and others are not instructive enough for identifying what went wrong with a model or how to improve it. As a visual analytics tool, Manifold allows ML practitioners to look beyond overall summary metrics to detect which subset of data a model is inaccurately predicting.
技术使用统计数据和市场份额
您可以通过筛选地理位置、行业、公司规模、收入、技术使用情况、职位等来根据您的需求定制这些数据。您可以以Excel或CSV格式下载数据。
您可以获得有关此数据的提醒。您可以通过选择您感兴趣的技术来开始,然后当有新公司使用该技术时,您将会在您的收件箱中收到提醒。
您可以将这些数据导出到一个Excel文件,然后导入到您的CRM中。您也可以将这些数据导出到API。
Manifold 被用于 27 个国家
Technology
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Manifold
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法国
公司 | 国家 | 行业 | 雇员 | 收入 | 技术 |
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法国 | Oil And Gas | 110 |
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法国 | 5K |
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法国 | Staffing And Recruiting | 29 |
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法国 | Business Consulting And Services | 14 |
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法国 | Business Consulting And Services | 365 |
| ![]() Manifold | |
法国 | Business Consulting And Services | 2.1K | $681M | ![]() Manifold | |
法国 | Oil And Gas | 51 |
| ![]() Manifold | |
法国 | Oil And Gas | 54 |
| ![]() Manifold | |
法国 | Business Consulting And Services | 1.1K |
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法国 | Chemical Manufacturing | 67K | $32B | ![]() Manifold |
有 202 个 Manifold 替代品