learning

Why we included this project

This learning log reads more like a deliberate study plan than a pile of saved links. Every resource, from a full book like Designing Machine Learning Systems to a short Datacamp module, is listed with its format, length, and a progress checkbox, so you always know where you stand. The generic skills section pulls in system design, probability, statistics, and MLOps material, which makes the list useful for backend or web developers moving into machine learning rather than just researchers. Because the author has already vetted and sequenced hundreds of links into coherent topics, the repository works as a ready-made syllabus: teams can hand it to newcomers, and self-learners can pace themselves against a concrete checklist.