Insight Paper

Understanding the impact and effect of feature selection

This insight paper describes why feature selection is an integral part of any successful machine learning project.  Feature selection purposes to choose the right features for your model.

This becomes especially true when you want to increase the model accuracy by testing new data sources or test new data transformations from your existing data.

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Making the case for non-parametric ensemble machine learning models

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Machine learning in credit decisions

Leveraging machine learning for smarter lending and obtain insights into the technology behind 100% transparent machine learning models.

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