Name: Note for Machine Learning - ML By New Swaroop
Rating: 2 (1 reviews)
Author: New Swaroop

Introduction, Neural Network Representations, Appropriate problems for learning, Perceptrons, Multilayer and Back-propagation Algorithm, Remarks on Back-propagation algorithm, Summary

Artificial Neural Networks

Neural Networks

Perceptron

Multilayer Networks

Back Propagation Algorithm

Bayes Theorem & Concept Learning, Maximum likelihood & Least- Squared Error Hypotheses, Maximum likelihood for Predicting Probabilities, Minimum Description Length Principle, Naive Bayes Classifier, Bayesian Belief Networks, The EM Algorithm

Bayesian Learning

Bayes Theorem

Maximum Likelihood Error Hypotheses

Probability Density

Naive Bayes Classifier

New Swaroop

Note for Machine Learning - ML By New Swaroop

Machine Learning