An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

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

PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most ...

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 ...

Companies spend billions on programs that don’t pay off. Here’s how to fix that. by Michael Beer, Magnus Finnström and Derek Schrader Corporations are victims of the great training robbery. American ...