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Chapter 5 Slides

▪ Opening Vignette

▪ Healthcare

▪ Neural computing

▪ Artificial Neural Network (ANN)

▪ Pattern Recognition

▪ Neurons

▪ Axons

▪ Dendrites

▪ Biological vs. ANN

▪ Recurrent NNA Kohonen Network (SOM) / Hopfield Network

▪ Naïve Bayes is a simple probability-based classification method (a machine- learning tech-nique that is applied to classification-type prediction problems) derived from the well-known Bayes theorem. The method requires the output variable to have nominal values.

▪ BN is a powerful tool for representing dependency structure in a graphical, explicit, and intuitive way. It reflects the various states of a multivariate model and their probabilistic relationships.

▪ Combinations of the outcomes produced by two or more analytics models into a compound output. Ensembles are primarily used for prediction modeling when the scores of two or more models are combined to produce a better prediction.

▪ Review the Chapter highlights

▪ Review the key terms

▪ Complete the weekly homework