I teach machine learning from first principles, focusing on understanding rather than memorization or black-box code. My goal is to help learners feel calm and confident about how models actually learn, why they fail, and how to reason about their behavior in real situations.

Instead of assuming advanced math or prior ML experience, I focus on building understanding step by step, using real examples and clear explanations.

If you want to understand how machine learning works beneath the surface and gain the confidence to continue learning independently, you’re in the right place.