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Introduction to Machine Learning

A COURSE IN IDEAS & EXPERIMENTS · 2026

Understand what
models learn.

Mathematical foundations, modern machine learning and experiments you can explain. Find the weekly plan, study the ideas, and connect them to practice.

Explore the course ↓The full syllabus ↗

A little intuition. A little mathematics. A lot of discovery.

from local clues…Pencil-drawn cats emerge from local fragments into a complete picture.
…to a useful representation.

YOUR ROUTE THROUGH THE COURSE

One week. A new way to see.

See the weekly plan ↗

Materials appear as they are released. A dash means unavailable or not assigned; planned weeks link to the syllabus.

ML is easy twice: first when you just use it, and again when you discover the roots from which it all grows.
How we learn and work together ↗

How to use the materials

Start with the weekly plan, follow the lecture and tutorial, then return to the textbook for the detailed explanation. In each experiment, ask what changed, how it was evaluated and what the evidence supports.

Course essentials

Dates, remaining institutional details and unresolved policy decisions are published separately. Items marked TODO(instructor) await instructor confirmation.