Effective model validation using machine learning

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By Jonathan B. Glowacki, Martin Reichhoff | 17 May 2017
Recent developments in technology and open-source software have increased computational power, allowed for more effective data-processing algorithms, and created a surge in demand for more advanced predictive solutions. The market has responded to this demand with machine-learning algorithms. Machine-learning techniques have the potential to help improve business processes, better manage risk, and advance research, but these techniques are not without their own potential risks.

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