Protected: Reinforcement Learning Overview
An overview of reinforcement learning for learning sequential decision rules
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Deux Ex Machina
Protected: Nonparametric Bayesian Point Processes and the Mathematics of Statistical Machine Learning Overview
An overview of the nonparametric Bayesian method, a probability generation model in infinite dimensions
Protected: Decision Tree Algorithm (4) Rule Classification using R
Rule extraction with R using decision tree algorithm, C5.0, and Ripper
Protected: Decision Tree Algorithm (2) Clustering with R
Classification using R, a classical machine learning algorithm, the decision tree algorithm.
Protected: Decision Tree Algorithm (3) Rule Classification Overview
Rule extraction using the decision tree algorithm, a classical machine learning algorithm.
Protected: Decision Tree Algorithm (1) Overview
Overview of the decision tree algorithm, a classical machine learning algorithm.
Protected: Introduction to Machine Learning with Bayesian Inference
An overview of machine learning with Bayesian inference, a probabilistic generative model.
Protected: Submodular Optimization and Machine Learning – Overview
Overview of inferior modular optimization, which is machine learning for discrete variables used in sensor placement optimization.
Protected: Causal Exploration of Statistics – Introduction
Overview of methods for statistical learning of causal information, and methods for determining various causal relationships.
Sequential Pattern Mining
Overview of data mining to find patterns in data delivered in sequence and introduction to the actual use of SPMF, an oven source