Member-only story
The Machine & Deep Learning Compendium Open Book
A comprehensive resource for data scientists & ML engineers.
Nearly a year ago I announced the Machine & Deep Learning Compendium, which was a personal list of resources curated in a private google document. That document is now retired in favor of this new interface. I decided to share it as an educational tool in order to allow people to learn and connect to all the great authors that I summarized, quoted, and referenced. The ML Compendium contains over 500-topics, and in its document version, it was over 400 pages long.
PLEASE NOTE: I’m in the midst of restructuring the compendium. I‘m taking on this huge effort because the compendium started as my personal list of resources for my own private use without any standardization and without the intention of opening it up for the public, in order to allow readers to easily find topics and for referenced authors to get support back from the community. If you feel like something should be changed, content-wise, please contact me and we’ll work together to make that happen. My intent is to support both the community and authors and to educate people.
Dr. Ori Cohen has a Ph.D. in Computer Science with a focus on machine learning. He is the author of the ML & DL Compendium and the StateOfMLOps.com. He is a lead data scientist at New Relic TLV, doing machine and deep learning research in the field of AIOps & MLOps.
Contact: LinkedIn| Medium | OriCohen.com | book.mlcompendium.com
