# mrdbourke/machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

Repository: https://github.com/mrdbourke/machine-learning-roadmap
Canonical: https://ross.abutalabs.com/products/machine-learning-roadmap
License: MIT
License Family: permissive
Topics: machine-learning, deep-learning, data, data-science
Last push: 2022-12-08T22:38:52+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2246, "days_push": 1364, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7894, forks 1168 (observed 2026-08-28T04:10:08.851256+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: machine-learning, deep-learning, data-science, tutorials
- platform: -
- tags: roadmap, mindmap, learning-path, machine-learning-education, web-server

## Member repositories
- mrdbourke/machine-learning-roadmap (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:08.851256+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:33:26.521760+00:00, confidence not recorded.
  - readme: https://github.com/mrdbourke/machine-learning-roadmap (fetched 2026-08-28T04:10:08.851256+00:00, sha 0fa157fb4ef2)
- Data as of 2026-08-30T08:39:29.467469+00:00.