Deep Learning with Yacine on MSN

Gradient descent from scratch in Python – step by step tutorial

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...
Deep Learning with Yacine on MSN

Build k-nearest neighbors from scratch in Python – step by step tutorial

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

Tutorial: Fundamentals of Fully-Integrated Voltage Regulators

Abstract: Fully integrated voltage regulators (FIVRs) enable fast dynamic voltage and frequency scaling for energy-efficient high-performance digital systems. This tutorial will cover the fundamentals ...
The Financial Express

This 17-year-old California teen writes a book to teach Python coding to children

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

Tutorial: Intelligent Neural Interfaces: Fundamentals and Future Directions

Abstract: In the past decade, there has been growing interest in developing AI-enabled neural interfaces for various neurological disorders and emerging brain-machine interface (BMI) applications. The ...
GitHub

Kalman and Bayesian Filters in Python

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 ...