It is possible to post-process decision tree prediction rules to remove unnecessary duplication of predictor variables, but the demo program, and most machine learning library implementations, do not ...

The Department of Industrial Engineering and Management Sciences is a leader in the science of decision-making in complex environments through innovation in algorithms, computation, and mathematical ...

List of best Machine Learning Models for time series forecasting, Stock Prediction, Multiclass Classification, Regression, Small Datasets, Big Datasets, etc.

The study illustrates why it’s not enough for machine learning decisions to be accurate when they arrive; it’s also about humans being able to understand what happens on the decision-making path.

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

Dr. James McCaffrey of Microsoft Research says the technique is easy to tune, works well with small datasets and produces highly interpretable predictions, but there are also trade-off cons. The goal ...