Chen Tang -

Learning Python with Keen (Session 2)

Life

Python

Correlation vs. Causation

Research Methods

A great way to understand correlation \(\ne\) causation :)

Learning Python with Keen (Session 1)

Life

Python

My older son, Keen, is six years old now and he’s getting interested in coding. So I’m now working on a series of Jupyter notebooks that introduce him to Python.

Hierarchical Models

Bayesian

Statistics

Math

\[\begin{aligned} y_{ij} | \mu_j, \sigma^2 &\overset{i.i.d.}\sim \mathcal{N}(\mu_j, \sigma^2), \end{aligned}\] where \(i = 1, ..., n_j\), (number of observations in group …

Data Leakage

Math

Statistics

(This post is from a talk on data leakage at the 2021 Technology and Measurement Around the Globe (TMAG) virtual symposium. Code and data can be found here)

Some Basic Linear Algebra

Math

Statistics

Purely out of curiosity, I’m recently reading the deep learning book (Goodfellow, Bengio, & Courville, 2016). I noticed that Chapter 2 Linear Algebra is a very quick and effective summary of linear algebra. It provides the right…

A Very Detailed Bias-Variance Breakdown

Machine learning

Bias-variance trade-off

Prediction

Math

Statistics

Although the concept of bias-variance trade-off is often discussed in machine learning textbooks, e.g., Bishop (2006), Hastie, Tibshirani, and…