# ilmoi/MML-Book

Code / solutions for Mathematics for Machine Learning (MML Book)

Repository: https://github.com/ilmoi/MML-Book
Canonical: https://ross.abutalabs.com/products/mml-book
Language: Jupyter Notebook
License Family: other
Topics: mml-book, machine-learning, self-study, math-for-machine-learning
Last push: 2025-09-15T23:36:58+00:00

## Health v2 (maintenance only)
Score: 51/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 42, release rhythm 35, longevity 100
- inputs: {"age_days": 2302, "days_push": 352, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1259, forks 202 (observed 2026-08-28T04:04:09.899664+00:00)

## What it is
A collection of Jupyter Notebook solutions and exploratory Python code for the 'Mathematics for Machine Learning' book, covering chapters 2 through 7. It serves as a self-study companion with worked exercise solutions in notebook and PDF form.

## Use cases
- solutions to mathematics for machine learning book exercises
- self-study companion for MML book
- learn linear algebra for machine learning with worked examples
- jupyter notebooks explaining math for ML concepts
- understanding Gaussians and probability for machine learning
- check my answers to MML chapter exercises

## When to choose
- you are working through the Mathematics for Machine Learning book and want solutions to compare against
- you prefer learning math concepts through runnable Python notebooks
- you want free self-study material for ML math foundations

## When to avoid
- you need a maintained software library or production code
- you require a licensed or formally reviewed educational resource
- you want a complete course rather than exercise solutions

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, math, data-science
- domain: machine-learning, mathematics, education, tutorials
- platform: python
- tags: jupyter-notebooks, self-study, exercise-solutions, linear-algebra, mml-book

## Member repositories
- ilmoi/MML-Book (main) score 51

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:09.899664+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 2026-08-30T05:05:30.766316+00:00, confidence not recorded.
  - readme: https://github.com/ilmoi/MML-Book (fetched 2026-08-28T04:04:09.899664+00:00, sha 4ec28b6c9114)
- Data as of 2026-08-30T08:39:29.467469+00:00.