Galit Shmueli – Chair Professor of Business Analytics
Description: A blog about business analytics, statistics and technology by Galit Shmueli, Professor of Data Analytics
A blog by Prof. Galit Shmueli
Machine learning (ML) algorithms are being used to generate predictions in every corner of our decision-making life. Methods range from “simple” algorithms such as trees, forests, naive Bayes, linear and logistic regression models, and nearest-neighbor methods, through improvements such as boosting, bagging, regularization, and ensembling, to computationally-intensive, blackbox deep learning algorithms.
The new fashion of “apply deep learning to everyt h ing” has resulted in breakthroughs as well as in alarming disasters. Is this due to the volatility of deep learning algorithms? I argue this is because of the growing divorce between predictive algorithm developers, their deployment context, and their end users’ actions .
Galit Shmueli – Chair Professor of Business Analytics