dependencies

Course Schedule collapses to a single question: is the prerequisite graph a DAG? The signal is seeing the graph framing and applying topological sort or DFS to detect a cycle. Here is the answer.

'Works on my machine' is a dependency and environment problem, and for ML it drags in CUDA versions and exact library pins that shift numerical results. Here is how to bring the production environment in line with training.

Every third-party model, dataset, and library widens the attack surface: backdoors, poisoning, arbitrary code on load, license landmines. The signal is treating models and data as supply-chain artifacts that need provenance and vetting. Here is the answer.