# zhengqigao/PRML-Solution-Manual

My Own Solution Manual of PRML

Repository: https://github.com/zhengqigao/PRML-Solution-Manual
Canonical: https://ross.abutalabs.com/products/prml-solution-manual
License Family: other
Last push: 2021-04-05T01:17:41+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": 3214, "days_push": 1977, "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 1017, forks 128 (observed 2026-08-28T04:03:14.589875+00:00)

## What it is
A community solution manual for Bishop's textbook 'Pattern Recognition and Machine Learning' (PRML), covering worked solutions for Chapters 1-11. It is a personal study reference maintained by the author, not published software.

## Use cases
- find solutions to PRML exercises
- study pattern recognition and machine learning
- check my derivations for Bishop's book problems
- learn Bayesian machine learning with worked examples
- supplement self-study of PRML chapters 1-11

## When to choose
- you are self-studying PRML and want reference solutions
- you are stuck on a derivation in chapters 1-11
- you want an alternative perspective to the official Springer solution manual

## When to avoid
- you need solutions for chapters beyond 11
- you want maintained, peer-reviewed educational material
- you need redistributable content - the author forbids republishing

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: machine-learning, tutorials, mathematics
- platform: cross-platform
- tags: prml, bishop, solution-manual, pattern-recognition, textbook-solutions, study-notes, education

## Member repositories
- zhengqigao/PRML-Solution-Manual (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:14.589875+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 2026-08-30T07:11:16.101883+00:00, confidence not recorded.
  - readme: https://github.com/zhengqigao/PRML-Solution-Manual (fetched 2026-08-28T04:03:14.589875+00:00, sha 6f4aba0a3646)
- Data as of 2026-08-30T08:39:29.467469+00:00.