# offchan42/machine-learning-curriculum

:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list

Repository: https://github.com/offchan42/machine-learning-curriculum
Canonical: https://ross.abutalabs.com/products/machine-learning-curriculum
License: MIT
License Family: permissive
Topics: machine-learning, python, course, deep-learning, curriculum, guide, reinforcement-learning, convolutional-neural-networks, tensorflow, mxnet, pytorch, chainer, recurrent-neural-networks, neural-network, mlops-workflow
Last push: 2024-03-03T09:16:20+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": 3551, "days_push": 913, "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 1128, forks 253 (observed 2026-08-28T04:03:41.605062+00:00)

## What it is
A curated curriculum and resource list for learning machine learning, deep learning, and reinforcement learning. It links to courses, videos, tools, and media, and is regularly updated to remove outdated content.

## Use cases
- learn machine learning from scratch
- find the best ML courses online
- structured curriculum for deep learning
- learn reinforcement learning
- find resources for neural networks and CNNs
- guide for learning ML with Python
- recommendations for ML tools and frameworks

## When to choose
- you want a curated, opinionated learning path for ML
- you prefer free courses, videos, and articles over a single textbook
- you want recommendations covering TensorFlow, PyTorch, and other frameworks

## When to avoid
- you need runnable code or a software library
- you want an interactive platform with graded exercises
- you need production MLOps tooling rather than learning material

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, deep-learning, reinforcement-learning
- domain: machine-learning, deep-learning, tutorials, awesome-lists
- platform: python
- tags: curriculum, guide, courses, neural-networks, tensorflow, pytorch, self-learning

## Member repositories
- offchan42/machine-learning-curriculum (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:41.605062+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 2026-08-30T06:38:34.210122+00:00, confidence not recorded.
  - readme: https://github.com/offchan42/machine-learning-curriculum (fetched 2026-08-28T04:03:41.605062+00:00, sha fca580f6bc2c)
- Data as of 2026-08-30T08:39:29.467469+00:00.