mrdbourke/machine-learning-roadmap resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

7894 stars · 1168 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A visual roadmap connecting the most important machine learning concepts, covering problems, processes, tools, mathematics, and learning resources. It is primarily an interactive mindmap plus a README guide for people learning ML.

Use cases

• learn machine learning from scratch
• find a structured path to study data science
• figure out which ML tools to use
• understand the math behind machine learning
• plan a deep learning learning curriculum
• identify what a machine learning problem looks like

When to choose

• you want a curated overview of ML concepts and how they connect
• you need guidance on what order to learn ML topics
• you want links to quality ML learning resources

When to avoid

• you need runnable code or a software library
• you want up-to-the-minute 2024+ content, as the roadmap dates from 2020
• you need hands-on exercises rather than conceptual maps

Facets

learning-resource · maturity maintenance

documentation developer-tools machine-learning deep-learning data-science tutorials roadmap mindmap learning-path machine-learning-education web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="mrdbourke/machine-learning-roadmap")