(Created page with "Category:tutorial Category:machine learning <center><font size= 4> "Machine Learning" ''' </font size> <font size= 2> Tutorials and other Learni...") |
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Latest revision as of 11:26, 27 March 2015
Tutorials and other Learning Material
- Decision Theory Glossary
- The effect of adding correlated features
- About Parametric Estimators
- Bayes rule under severe class imbalance
- Fisher linear discriminant can be used for non-linearly separable data too!
- A jump start on using Simulink to develop a ANN-based classifier
- The K Nearest Neighbor Algorithm
- MLE example: binomial and poisson distributions
- MLE example: exponential and geometric distributions
- Video illustrating the decision boundary for normally distributed features
