Deep Learning with Yacine on MSN

Backpropagation from scratch in Python – step by step neural network tutorial

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...
ISA

ISA Standards and Publications

Automation standards from ISA—a global leader in industry-developed, consensus standards for more than six decades—serve as best-practice guidelines that direct proper system design, implementation, ...
GitHub

tirthajyoti/Machine-Learning-with-Python

Jupyter notebooks covering a wide range of functions and operations on the topics of NumPy, Pandans, Seaborn, Matplotlib etc. Decision trees and Random Forest Classification (Here is the Notebook) ...
GitHub

Space Science with Python

This repository is part of a "Space Science with Python" tutorial series. The corresponding articles that explain each part are available on Medium (https://medium ...
IEEE

Distributed Optimization Methods for Multi-Robot Systems: Part 1—A Tutorial [Tutorial]

Abstract: Distributed optimization provides a framework for deriving distributed algorithms for a variety of multi-robot problems. This tutorial constitutes the first part of a two-part series on ...
IEEE

Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks

Abstract: The rise in deep neural networks (DNNs) has led to increased interest in explaining their predictions. While many methods for this exist, there is currently no consensus on how to evaluate ...
NPR

Politics

January 20, 2026 • It's unclear how many leaders have been asked to join the board, and the large number of invitations being sent out, including to countries that don't get along, has raised ...