Business Statistics
Association Rule Learning
Association Rule Learning is generally used to analyze the “market-basket” for retailers. Traditionally, this simply looks at whether a person has purchased an item or…
Article
Business Statistics
Apriori Algorithm
Apriori Algorithm is an influential algorithm for mining frequent itemsets for boolean association rules. It uses a “bottom up” approach, where frequent subsets are extended…
Computer
Self Organizing Map
Self Organizing Map is one of the most popular neural network models. It belongs to the category of competitive learning networks. It is based on…
Computer
Information Bottleneck Method
This article describe about Information Bottleneck Method, which is a technique in information theory for finding the best tradeoff between accuracy and complexity. Optimal temporal…
Business Statistics
Expectation Maximization Algorithm
Expectation Maximization Algorithm is a natural generalization of maximum likelihood estimation to the incomplete data case. It is used to find maximum likelihood parameters of a…
Business Statistics
Hidden Markov Model
This article talks about Hidden Markov Model, which are especially known for their application in temporal pattern recognition such as speech, handwriting, gesture recognition, part-of-speech…
Computer
Decision Tree Learning
Decision Tree Learning is one of the most successful techniques for supervised classification learning. It is one of the most widely used and practical methods…
Computer
About Perceptron
Perceptron is intended to be a machine, rather than a program, and while its first implementation was in software for the IBM 704, it is…
Business Statistics
Naive Bayes Classifier
Naive Bayes classifiers are highly scalable, requiring a number of parameters linear in the number of variables in a learning problem. Naive Bayes Classifier technique…
Business Statistics
Multinomial Logistic Regression
Multinomial Logistic Regression is used to describe data and to explain the relationship between one dependent nominal variable and one or more continuous-level independent variables.…
Business Statistics
Logistic Regression
Logistic Regression is used to describe data and to explain the relationship between one dependent binary variable and one or more metric independent variables.It measures…
Business Statistics
Linear Discriminant Analysis
This article talks about Linear Discriminant Analysis (LDA), which is most commonly used as dimensionality reduction technique in the pre-processing step for pattern-classification and machine…
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