Opinion

How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

It's time to turn prediction markets into a decision-making operating system

Human coordination is bottlenecked by a terrible algorithm. When a DAO, a corporation, or a nation-state makes a decision, it ...
Game Rant

Descent Quest Guide in Assassin's Creed Shadows X Attack on Titan

Ayyoun is a staff writer who loves all things gaming and tech. His journey into the realm of gaming began with a PlayStation 1 but he chose PC as his platform of choice. With over 6 years of ...
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Logistic Regression Explained with Gradient Descent — Full Derivation Made Easy!

Struggling to understand how logistic regression works with gradient descent? This video breaks down the full mathematical derivation step-by-step, so you can truly grasp this core machine learning ...
IEEE

Channel-Aware Gradient Descent Bit-Flipping Algorithm for LDPC Codes

Abstract: The gradient descent bit-flipping with momentum (GDBF-w/M) and probabilistic GDBF-w/M (PGDBF-w/M) algorithms significantly improve the decoding performance of the bit-flipping (BF) algorithm ...
IEEE

A Mirror Descent-Based Algorithm for Corruption-Tolerant Distributed Gradient Descent

Abstract: Distributed gradient descent algorithms have come to the fore in modern machine learning, especially in parallelizing the handling of large datasets that are distributed across several ...