DM Wk3 Discussion
Analytics, Data Science, & Artificial Intelligence, 11th Edition
Chapter 5 Slides
Opening Example
Opening Vignette
Healthcare
Basic Concepts of Neural Networking
Neural computing
Artificial Neural Network (ANN)
Pattern Recognition
Neurons
Axons
Dendrites
Biological vs. ANN
Neural Network architectures
Recurrent NNA Kohonen Network (SOM) / Hopfield Network
Support Vector Machines
Nearest Neighbor Method for Prediction
Naïve Bayes Method for Classification
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.
Bayesian Networks
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.
Ensemble modeling
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.
Wrap Up
Review the Chapter highlights
Review the key terms
Complete the weekly homework