Machine learning ... classification or regression. Dimensionality reduction algorithms include removing variables with many missing values, removing variables with low variance, Decision Tree ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification ... Starting with all 200 training items, the decision tree algorithm scans the ...

Using a decision tree classifier from a machine learning library is often awkward because it usually ... [Click on image for larger view.] Figure 2: Algorithm for Splitting a Dataset Based on Impurity ...

Machine learning can solve non-numeric classification ... decision or regression tree, optimizes it, and then builds the next tree from the residuals of the first tree. Lloyd’s algorithm ...

“We made a very powerful machine learning ... algorithm's decision-making capabilities.When the Stanford collaboration began, the neural net was already able to identify 1.28 million images ...