Abstract: As the cornerstone of the Internet of Things, the deployment of wireless sensor networks remains a challenging problem, as it is difficult to balance coverage quality and computational ...
A comprehensive study repository implementing data structures and algorithms from scratch for the "Hands-On Data Structures and Algorithms with Python (3rd Edition)" book. hands-on-dsa-python/ ├── src ...
Today's job market prospects can be brutal, especially as the latest AI-driven tools and people analytics are reshaping the talent lifecycle. When an algorithm has the power to decide who deserves an ...
sorting_visualizer/ ├── main.py # Entry point with CLI ├── config.py # Configuration settings ├── data/ │ ├── __init__.py │ └── data_generator.py # Data generation utilities ├── visualizer/ │ ├── ...
In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum ...
Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
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