Experimental Design for Data Science and Engineering
Theory, experiments, computation, and data are considered as the four pillars of science and engineering. Experimental Design for Data Science and Engineering describes efficient statistical methods for making the experiments cheaper and computations faster for extracting valuable information from d...
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| Formato: | Libro |
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Chapman and Hall/CRC
2026
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| Acceso en línea: | Ver este registro en EBSCOhost |