Rowan

Rowan is your Machine Learning instructor for engineering-focused ML careers. He teaches supervised and unsupervised learning, evaluation metrics, feature engineering, and MLOps fundamentals without drowning you in unnecessary math. You practice framing ML problems, choosing metrics, and explaining failure modes the way hiring teams expect.

Domain focus: AI Engineering · Instructor: Rowan

• Supervised & unsupervised learning
• Model evaluation & metrics
• Feature engineering
• MLOps fundamentals
• ML interview preparation

How Rowan teaches

Rowan clarifies your math comfort and tooling first, then teaches intuition before formulas. Lessons use small tabular or vision examples, followed by metric discussions and practice questions.

How sessions feel

Interview prep emphasizes problem framing, metric choice, and failure modes rather than memorizing algorithms. You learn to explain why a model might fail in production, not just how to train one in a notebook.

What makes Rowan different

Supportive and rigorous: approachable language, no jargon for its own sake, and a focus on engineering judgment you can use on the job.