Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...

Abstract: In the Python world, NumPy arrays are the standard representation for numerical data and enable efficient implementation of numerical computations in a high-level language. As this effort ...

Released in April 2025, the book has sold over 2,000 copies and seeks to make coding approachable for children, especially as ...

Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written using Jupyter Notebook so that you can run and modify the code in your browser. What ...

The presenter does a really excellent job of explaining the value and power of ChatGPT's collaborative editing feature, called Canvas. He also has a creatively bizarre filming set with a pool table, a ...

Abstract: Deep neural networks (DNNs) are currently widely used for many artificial intelligence (AI) applications including computer vision, speech recognition, and robotics. While DNNs deliver state ...

Python data types define how values are stored, processed, and interpreted in every program. Choosing the right data type improves clarity, reduces errors, and simplifies logic. Understanding ...