Deep Learning with Yacine on MSN

Adadelta optimizer explained – Python tutorial for beginners & pros

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

What is Spread Betting? How Does It Work?

In sports, not every matchup is created equal. Powerhouses often face underdogs, and the talent gap can be wide. For bettors, that imbalance is where the point spread comes in. By assigning a handicap ...
IEEE

SP-Pillars: An Efficient LiDAR 3D Objects Detection Framework With Multi-Scale Feature Perception and Optimization

Abstract: In autonomous driving, achieving rapid detection of target categories and locations is a key technology. However, the data volume of radar point clouds is enormous, and processing efficiency ...
NPR

On Point with Meghna Chakrabarti

Get ready for your aha moment: Every weekday, host Meghna Chakrabarti pierces your news bubble to expose the whole story. Getting answers to the questions that need to be asked, examining our history ...