Introduction

This site is Livan Zhou's personal AI learning portfolio.

It documents my ongoing preparation in machine learning, deep learning, AI for Science, and reproducible research workflows. The purpose of this site is to keep my learning process structured, traceable, and technically accountable.

Current focus areas:

1. AI Foundations: classical machine learning, deep learning models, and model evaluation.
2. AI for Science: understanding how scientific questions can be transformed into modelable tasks.
3. Reproducible Research: reading papers, running code, debugging environments, inspecting outputs, and recording results.

This site is not intended to present finished research claims. It is a structured record of my learning process, technical progress, and effort to build stronger AI foundations.