Exploring the conditions that bring about the desired results using machine learning.
What separated the good from the bad? Exploring results even with complex combinations of conditions.
We conduct searches for conditions that have affected performance through data analysis. We examine multiple potential methods and present a highly accurate model. Using the results of the analysis based on the data provided, we engage in repeated discussions with our customers to lead to results with greater explanatory power. [Purpose and Background] ■ When inconvenient phenomena occur, it may not be easy to discern relationships through simple correlation analysis or graphical representation. ■ Experimental design is effective when the factors can be anticipated and can be manipulated artificially. *For more details, please refer to the PDF document or feel free to contact us.
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