Abstract: Financial transaction networks represent inter-firm relationships, where firms and transactions act as nodes and edges, respectively. Link prediction in these networks aims to identify ...
Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning ...
Learn how backpropagation works using automatic differentiation in Python. Step-by-step implementation from scratch.
Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...
On October 6, 2025, California Governor Gavin Newsom signed AB325, a law targeting the use and distribution of certain ...
Abstract: Automated guided vehicles are widely utilized in the real production environment for tasks such as job transfer and inter-factory collaboration, yet they remain relatively underexplored in ...