Machine-learning

A deep dive into building a regime-aware trading system that uses Hidden Markov Models to classify market conditions and dynamically allocate across a strategy pool — from feature engineering to live paper trading.

How Retrieval-Augmented Generation works under the hood, and a practical walkthrough building a RAG-based LLM Q&A app with LangChain, OpenAI, and Pinecone for a graduate ML course.