# adeshpande3/Machine-Learning-Links-And-Lessons-Learned

List of all the lessons learned, best practices, and links from my time studying machine learning

Repository: https://github.com/adeshpande3/Machine-Learning-Links-And-Lessons-Learned
Canonical: https://ross.abutalabs.com/products/machine-learning-links-and-lessons-learned
License Family: other
Topics: machine-learning
Last push: 2022-10-06T11:00:08+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": 3312, "days_push": 1427, "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 1009, forks 342 (observed 2026-08-28T04:03:12.861535+00:00)

## What it is
A curated list of machine learning lessons learned, best practices, courses, papers, blogs, and resources compiled from the author's study and teaching experience. It serves as a learning roadmap and reference guide rather than software.

## Use cases
- find the best courses to learn machine learning
- get a roadmap for getting started with ML
- find important deep learning papers to read
- discover ML blogs and tech talks
- learn best practices for training and debugging ML models

## When to choose
- you want a curated starting point for self-studying machine learning
- you need links to courses, papers, and blogs in one place
- you want practical ML project advice and best practices

## When to avoid
- you need runnable code or a software library
- you want a structured interactive course with exercises
- you need up-to-date coverage of the latest LLM-era techniques

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: machine-learning, deep-learning, tutorials, artificial-intelligence
- platform: cross-platform
- tags: awesome-list, curated-links, study-guide, best-practices

## Member repositories
- adeshpande3/Machine-Learning-Links-And-Lessons-Learned (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:12.861535+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 2026-08-30T07:12:01.103891+00:00, confidence not recorded.
  - readme: https://github.com/adeshpande3/Machine-Learning-Links-And-Lessons-Learned (fetched 2026-08-28T04:03:12.861535+00:00, sha 70a3fc982782)
- Data as of 2026-08-30T08:39:29.467469+00:00.