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Linear discriminant analysis Introduction Linear Discriminant Analysis (LDA) is most commonly used as dimensionality reduction ...

Choosing the Right Type of Rotation in PCA and EFA What Is Rotation? In the PCA/EFA literature, definitions of rotation abound. F...

Get Smarter about Big Data Data is often imperfect – and that’s usually a good thing ! You don’t need perfect information to find intere...

Pseudo-Random Number Generators (PRNGs) As the word ‘pseudo’ suggests, pseudo-random numbers are not random in the way you might expect,...

Data Scientist A data scientist is responsible for pulling insights from data. It is the data scientists job to pull data, create models...

Chebyshev’s theorem  refers to several theorems, all proven by Russian mathematician  Pafnuty Chebyshev . They include: Chebyshev’s inequa...

Shivanker kumar for the class of May 9th z-score and its application  Z-scores are expressed in terms of standard deviations from the...