Effective model validation using machine learning
By Jonathan B. Glowacki and 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.
About the Author(s)
Martin Reichhoff
Contact us
We’re here to help you break through complex challenges and achieve next-level success.