Basics

Local Statistics Node Degree Node Degree Node degree of a node $u$ $$ d_u = \sum_{v\in \mathcal V} …

In contrastive methods, we can manipulate the data to create data entries and infer the changes …

The essence of [[GAN]] GAN The task of GAN is to generate features $X$ from some noise $\xi$ and …

An autoregressive (AR) model is autoregressive, $$ \begin{equation} \log p_\theta (x) = \sum_{t=1}^T …

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

In this article, we will explain how decision trees work and build a tree by hand. The code used in …

Bias Variance Trade off is a key concept in statistical learning

We all make mistakes. The question is, what kind of mistakes.

Estimates from a sample can be entitled a confidence interval

Jargons in statistics, accuracy, precision, population, sample, etl

Essential knowledge of programming

Principal component analysis is a method to remove redundancies of the features by looking into the variances.