Lectures
Machine Learning: From Data to Large Language Models
An ~80–90 min introduction (no prior ML needed): fundamentals, problem types, production ML systems, embeddings & Transformers, using LLMs (RAG, agents, local models), shipping ML in a real platform, ethics & privacy — ending in a hands-on capstone case study.
Open slides →