03Field notes

Ideas, unpacked.

Practical writing on machine learning, data, and engineering. Mathematics meets things you can actually try.

Field notes / 01

Machine learning / Article

A comprehensive guide to clustering algorithms

Mathematical foundations & practical applications

From centroid and density methods to graph-based approaches: understand the mathematics, compare trade-offs, and choose an algorithm for your data.

Field notes / 02

LLM optimization / Interactive article

Smaller models. Clearer trade-offs.

Explore LLM quantization techniques, change parameters, and visualize their effects on memory, performance, and accuracy.