- What Is Dimension Reduction In Data Science? - Jan 31, 2019.
An extensive introduction into Dimension Reduction, including a look at some of the different techniques, linear discriminant analysis, principal component analysis, kernel principal component analysis, and more.
Data Science, Dimensionality Reduction, Linear Discriminant Analysis, Principal component analysis
- The Development of Classification as a Learning Machine - Apr 29, 2016.
An explanation of how classification developed as a learning machine, from LDA to the perceptron, on to logistic regression, and through to support vector machines.
Classification, Linear Discriminant Analysis, Logistic Regression, Perceptron
- How to reduce Data Hoarding, get Better Visualizations and Decisions - May 21, 2015.
Creating a hodge-podge of pretty pictures of every datapoint is a guaranteed way to destroy the value of a visualization. We examine how to reduce such data hoarding and improve decisions.
Pages: 1 2 3
Alex Jones, Dashboard, Data Visualization, Linear Discriminant Analysis, PCA
