#Machine Learning
research notes.
ML models, training, evaluation, and the engineering behind predictive systems.
The Entropy Era: How to Build Synthetic Data Factories for 2026
The definitive guide to high-entropy synthetic data generation. Learn how to break the 'Data Wall' using Evol-Instruct, Magpie, and Rectified Scaling Laws.
Ollama vs. vLLM: Which Local Inference Engine Reigns Supreme in 2026?
The definitive 2026 benchmark comparison. Discover why Ollama owns development and vLLM dominates production. Throughput, latency, and hardware guides.
I Built My Own AI Trading Bot. Here's the Brutally Honest Guide to Doing It Yourself
A no-fluff, battle-tested breakdown of how to build an AI trading bot in Python — covering strategy, data, model selection, backtesting, and the real reasons most bots blow up.
The Real Math Requirements for Data Scientists in 2025…Based on Evidence, Not Fear
How much math do you actually need to be a top-tier data scientist? After reviewing 60+ sources, job postings, and practitioner stories, the answer is clearer — and calmer — than you think.