This article describes the analytical technique of multilayer perceptrons for classification. What is a Multilayer Perceptron Classifier? Multilayer perceptron (MLP) is a technique of feed-forward artificial neural networks using a back propagation learning method to classify the target variable used … Continued
This article describes the analytical technique of generalized linear regression with gaussian distribution. What is Generalized Linear Regression with Gaussian Distribution? The Generalized Linear Model (GLM) Regression is a flexible generalization of ordinary linear regression that allows for response … Continued
This article provides a brief overview of random forest classification technique. What is Random Forest Classification? The Random Forest Classification model constructs many decision trees wherein each tree votes and outputs the most popular class as the prediction result. Random … Continued
This article provides a brief overview of isotonic regression technique. What is Isotonic Regression? Isotonic Regression is a variant of linear regression and allows us to build models in piecewise linear manner i.e., breaking up the problem into few or … Continued
You Can’t Wave a Wand and Change a Business User into a Citizen Data Scientist Most business executives and managers have, by now, read the Gartner predictions wherein the average business user will be (or already has been) nominated to … Continued
How a Citizen Data Scientist Can Help Others Adjust to the New Reality! When a business user is given the mantle of Citizen Data Scientist, they being a journey that can help to advance their career, provide leadership experience and … Continued
Can Augmented Analytics Tools Improve Business User Analytics Adoption? When a business commits to data democratization and to improving data literacy, it must add advanced analytics tools that will support these initiatives. The education of business users is crucial if … Continued
This article will focus on the Naïve Bayes Classification method of analysis. What is Naïve Bayes Classification? Naive Bayes is a classification algorithm that is suitable for binary and multiclass classification. It is a supervised classification technique used to classify … Continued
In this article, we discuss the analytical method known as frequent pattern mining, previously known as ‘association’. What is Frequent Pattern Mining? Frequent Pattern Mining (AKA Association Rule Mining) is an analytical process that finds frequent patterns, associations, or causal … Continued
In this article, we will discuss the KNN Classification method of analysis. What is the KNN Classification Algorithm? The KNN (K Nearest Neighbors) algorithm analyzes all available data points and classifies this data, then classifies new cases based on these … Continued