# ujjwalkarn/Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

Repository: https://github.com/ujjwalkarn/Machine-Learning-Tutorials
Canonical: https://ross.abutalabs.com/products/machine-learning-tutorials
Homepage: http://ujjwalkarn.github.io/Machine-Learning-Tutorials
License: CC0-1.0
License Family: permissive
Topics: deep-learning-tutorial, machine-learning, machinelearning, deeplearning, neural-network, neural-networks, deep-neural-networks, awesome-list, awesome, list, deep-learning
Last push: 2024-06-12T08:11:59+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4008, "days_push": 812, "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 18140, forks 3970 (observed 2026-08-28T04:11:26.378062+00:00)

## What it is
A curated, topic-wise awesome list of machine learning and deep learning tutorials, articles, courses, and other learning resources. It covers topics from linear regression and SVMs to CNNs, RNNs, NLP, and reinforcement learning.

## Use cases
- find tutorials to learn machine learning from scratch
- locate deep learning articles on CNNs and RNNs
- prepare for data scientist interviews
- find university courses and cheat sheets on ML topics
- discover NLP and reinforcement learning resources
- get a topic-wise overview of ML concepts

## When to choose
- you want a broad, curated index of ML/DL learning materials
- you are a beginner looking for structured tutorials across many ML topics
- you need quick links to courses, blogs, and cheat sheets

## When to avoid
- you need runnable code or a software library rather than links
- you need up-to-date coverage of the newest models, as the list is maintained but not frequently refreshed
- you want interactive lessons rather than curated links

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, nlp, computer-vision, reinforcement-learning
- domain: machine-learning, deep-learning, tutorials, awesome-lists, data-science, computer-vision
- platform: cross-platform
- tags: awesome-list, curated-resources, tutorials, articles, neural-networks, education, natural-language-processing

## Member repositories
- ujjwalkarn/Machine-Learning-Tutorials (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:26.378062+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 2026-08-29T17:02:08.606286+00:00, confidence not recorded.
  - readme: https://github.com/ujjwalkarn/Machine-Learning-Tutorials (fetched 2026-08-28T04:11:26.378062+00:00, sha 61bd68a4cd8c)
  - homepage: http://ujjwalkarn.github.io/Machine-Learning-Tutorials (fetched 2026-08-29T08:00:29.420478+00:00, sha 15f69b6f3ed6)
- Data as of 2026-08-30T08:39:29.467469+00:00.