Gibbs sampling is a sampling method for Bayesian inference and MCMC

ROC is used to judging the performance of classifiers

Tree-based learning

Confusion Matrix It is much easier to understand the confusion matrix if we use a binary …

hypothesis testing is about the probability of alternative hypothesis if the null hypothesis is true, or even more general

In statistics, we work with samples. For example, the sample mean is easily calculated. However, it …

An overview of statistics

Frequent patterns using association rules

Solving PDEs

Essential knowledge of computations

linear methods

A brief overview of machine learning

Unsupervised Learning! Principle components analysis Clustering K-means Clustering Algorithm: …

Algoritms give us life

C++ as a programming language

Python as a programming language

Python as a programming language

Poisson regression is a generalized linear model for count data. To model a dataset that is …

Some basics of machine learning

identifying the data types and level of measurement is important in data science