Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...

Learn how to build a perceptron from scratch in Python! This tutorial covers the theory, coding, and practical examples, helping you understand the foundations of neural networks and machine learning.

Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.

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 ...

How to generate C-like programs with Python You might be familiar with how Python and C can work together, by way of projects like Cython. The new PythoC project has a unique twist on working with ...

The easiest way to install it is download joy.py and place it in your directory. The library has no dependencies. The Joy library integrates well with Jupyter environment and it is recommended to ...