www.mlcompendium.com
The AI Compendium, previously called the ML Compendium, curates resources and explanations of machine learning (ML) and deep learning, from a business problem t
What is www.mlcompendium.com?
The AI Compendium, previously called the ML Compendium, curates resources and explanations of machine learning (ML) and deep learning, from a business problem through data, AI, engineering, and product.
Overview of www.mlcompendium.com
What it is
The AI Compendium, previously called the ML Compendium, is an open book that curates resources and explanations of machine learning (ML) and deep learning, from a business problem through data, AI, engineering, and product. It started as a private list of resources maintained in a Google document and has evolved into an open source project hosted on GitHub. The compendium covers 502 topics and is designed for learners of all levels—industry data scientists, academics, or beginners. It is provided not-for-profit and free, driven by a belief in knowledge-sharing and education. The book has been reorganized once, and the record of that makeover is kept so the old order can still be traced.
Key features
- Covers 502 topics, including modern machine learning algorithms, deep learning techniques, NLP, audio processing, computer vision, time-series analysis, anomaly detection, and graphs.
- Includes strategic themes like data science management, team building, product management, design, and technology stacks from a data science perspective.
- Addresses the Ops half of building, shipping, governing, and running the system.
- Completely open source and hosted on GitHub.
- Designed to save users time by providing a streamlined path to curated resources, summaries, and links to authors summarized, quoted, and referenced.
- Allows community contributions via GitHub.
Use cases
The compendium is intended as a go-to educational resource for learning ML and deep learning, whether for industry data scientists, academics, or those just starting out. It supports learners who want to access curated content without searching and filtering through large amounts of material themselves.
Getting started
See the repository README at https://github.com/orico/www.mlcompendium.com for details on how to access or contribute to the book.
License and pricing
The project is not-for-profit and free. The license is not stated.
Based on the project's public README and repository metadata.
