Marketers must be deliberate when adding dimensions to a machine learning model. The cost of adding too many is accuracy. Decluttering fever is sweeping the country thanks to Marie Kondo. But clutter ...

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In the realm of data analysis and machine learning, the abundance of information often comes hand in hand with the curse of high dimensionality. As datasets grow larger and more complex, the challenge ...

Motivated by a study conducted to evaluate the associations of 51 inflammatory markers and lung cancer risk, we propose several approaches of varying computational complexity for analyzing multiple ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on creating an approximation of a dataset that has fewer columns. Imagine that you have a dataset that has many ...

In this paper, a linear subspace containing part or all of the information for the regression of a m-vector Y on a p-vector X and its dimension are estimated via the means of inverse regression.