Subject
4 entries
Cmu
Bookmarks
Deep Learning Systems (CMU 10-414/714)
10-414/714: Deep Learning Systems at CMU — a publicly available course on building the components of a deep learning framework from scratch, including automatic differentiation, optimization, and hardware acceleration. One of the best resources for understanding how frameworks like PyTorch actually work.
CMU 15-721: Advanced Database Systems
CMU 15-721 is Andy Pavlo's advanced database systems course covering in-memory databases, query compilation, concurrency control, and storage engines — the internals that most engineers never see. Free lectures, reading list of seminal papers, and a reputation as one of the best systems courses available.
Sarkar — Graph Processing Paper (CMU AutonLab)
Prithwish Sarkar's paper from CMU's AutonLab on large-scale graph analysis — bookmarked alongside Apache Giraph as a reference for distributed graph processing. CMU's AutonLab works on scalable machine learning for graph-structured data.
Introduction to Machine Learning — Alex Smola, CMU 2013
Alex Smola's Introduction to Machine Learning course at CMU (10-701, 2013) — a graduate-level survey of ML theory and methods from one of the field's top researchers. Course materials publicly available, covering optimization, probabilistic models, and learning theory.