Currently, azcausal provides two well-known and widely used causal inference methods: Difference-in-Difference (DID) and Synthetic Difference-in-Difference (SDID ...

By bridging the gap between theoretical logic and practical application, the syllabus fosters the technical proficiency and ...

Assigns nurses to patients and rooms while respecting complexity and capacity constraints. Prioritizes continuity of care. Generates optimal schedules using Google OR-Tools.

Harvard's free programming classes teach you how to think, debug, and adapt in an AI-driven world where knowing code matters more than ever.

Abstract: In this paper, we provide the observation that too few queries assigned as positive samples in DETR with one-to-one set matching leads to sparse supervision on the encoder’s output which ...

Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets make each project practical and industry-relevant. Skills gained cover analysis, ...