Improving Deep Neural Learning Networks (Part 2): Optimization Algorithms

Improving Deep Neural Learning Networks (Part 2): Optimization Algorithms

  • Amelia Nguyen
  • 26 Mar 2026

Gradient descent is just the starting point — the real question is how fast and how reliably you can reach a good minimum.

Improving Deep Neural Learning Networks (Part 1): Practical Approaches and Applications to LLMs

Improving Deep Neural Learning Networks (Part 1): Practical Approaches and Applications to LLMs

  • Amelia Nguyen
  • 21 Mar 2026

From foundational Deep Learning training techniques to the algorithms powering modern Agentic AI. Part 1 of 4.

Why Should We Pay Attention To Reproducibility In Analysis Pipelines?

Why Should We Pay Attention To Reproducibility In Analysis Pipelines?

  • Amelia Nguyen
  • 30 Sep 2024

A practical guide to reproducible analysis pipeline.

Extract data from Google Datastore API with Python and Jupyter Notebook

Extract data from Google Datastore API with Python and Jupyter Notebook

  • Amelia Nguyen
  • 25 Sep 2024

I had a project that required a lot of work with Google Datastore. However, there is surprisingly few instructional materials for this part. So I hope my article could make the job easier!

Spotify Analysis: How Music Taste Changes Between Then & Now

Spotify Analysis: How Music Taste Changes Between Then & Now

  • Amelia Nguyen
  • 20 Aug 2021

This is a blog post for my first data analysis project: Spotify EDA, and also my first post featured on CodeX publication.

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