The Machine & Deep Learning Compendium
The Machine & Deep Learning Compendium is a unique educational resource created by Dr. Ori Cohen. Initially, it started as a personal collection of curated information and resources saved in a private Google document. It was designed for Dr. Cohen's own learning journey. Over time, the project evolved beyond its initial scope, transforming into a comprehensive and publicly accessible educational tool meant to benefit a wider audience.
Purpose and Vision
The Compendium was created with the belief in the power of education and knowledge sharing. It aims to be an open and free resource for everyone, ensuring that it remains not-for-profit. The vision is to serve as a gateway for people of different expertise levels—whether they are industry data scientists, academic researchers, or simply enthusiastic learners—allowing users to connect with and learn from prominent authors whose works are summarized and referenced within the collection.
What the Compendium Offers
This vast resource includes about 500 topics covering a wide array of subjects in machine and deep learning. Users will find various summaries, links, and articles on modern machine learning algorithms, statistical methods, feature selection and engineering techniques, deep learning, natural language processing, audio processing, vision technologies (both deep and classic), time-series analysis, anomaly detection, graph theory, and experiment management. The Compendium doesn’t stop there; it also delves into strategic areas like data science team management, product management, product design, and the intricacies of a technology stack from a data science perspective.
An Evolving Resource
A key element of the Machine & Deep Learning Compendium is its continual evolution. Recognizing the dynamic nature of the field and the resource itself, contributions from the community are welcome. Users can easily propose changes or additions through platforms like GitBook and GitHub, or reach out directly if they have suggestions for content improvements.
Current Focus
Dr. Cohen is currently undertaking a substantial restructuring of the Compendium. The aim is to enhance the document's usability and standardize its format to better serve the audience and give credit to the referenced authors. This effort reflects a commitment to democratizing education and fostering community support while empowering contributors and authors alike.
Acknowledgements
Dr. Ori Cohen extends his gratitude to contributors such as Samuel Jefroykin and Sefi Keller, whose efforts have supported the growth and improvement of the Compendium.
For more insights and to explore the Compendium, you can visit MLCompendium.com or GitBook.