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NODE 01 2026-03-24

Bayesian Linear Regression Lifecycle: Posterior, MAP, and Predictive Uncertainty

A worked Bayesian linear regression example showing the design matrix, posterior derivation, MLE vs MAP, and predictive uncertainty.

March 24, 2026
#Machine Learning #Bayesian Statistics #Linear Regression
OPEN ENTRY ->
NODE 02 2026-03-18

Machine Learning: Variational Inference & ELBO

In this article, I’ll be introducing a detailed explanation to view Variational Inference & ELBO statistically and mathematically.

March 18, 2026
#Machine Learning
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NODE 03 2025-10-12

Data Visualization: Design, Standards, and Implementation

This article contains the basic theory, design principles and implementation methods of data visualization. Currently under improvement.

October 12, 2025
#Data Visualization #Statistics
OPEN ENTRY ->
NODE 04 2026-03-26

Software Development

March 26, 2026
OPEN ENTRY ->
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