Opinion

How do different data preprocessing techniques affect performance of machine learning ...

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, ...
India Today on MSN

The geometry of power: Algorithmic sovereignty in the 21st century

Every epoch in human history has had its equation of power. The variables of the 21st century are data, compute, and models.
AOL

Uber and DoorDash now disclose when algorithms set prices. There's still one big question.

A new law in New York requires businesses, including Uber and Lyft, to disclose when they're using algorithms to set prices.Klaudia Radecka/NurPhoto via Getty Images New Yorkers got a little more ...
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 ...
GitHub

gradient-descent-algorithm

This file explores the working of various Gradient Descent Algorithms to reach a solution. Algorithms used are: Batch Gradient Descent, Mini Batch Gradient Descent, and Stochastic Gradient Descent ...