What are Model Trees? Let's Implement and Compare Them with Regression Trees in Python

One of the representative algorithms in machine learning is the decision tree.A decision tree is a method that makes ...

How Do Machine Learning Models Learn? An Overview from Data Preparation to Training, Evaluation, and Prediction

When you start learning machine learning, you encounter many terms such as "features," "loss functions," "gradient descent," ...
U.S. Census Bureau

Record Linkage & Machine Learning

Record linkage continues to grow in importance as a fundamental activity in statistical agencies. The number of available administrative lists and commercial files has grown exponentially and present ...
Science

Harmonic brightness oscillations point to magnetar giant flares in rare short gamma-ray bursts

Kilohertz quasi-periodic oscillations (QPOs) have been observed in a few rare gamma-ray bursts (GRBs), but their physical ...
aiweekly

The Use-Case Library

Method. Records are extracted from AI Weekly's reporting corpus (the scored news wire and the deep-dive archive) and include only named organizations deploying, piloting, or rolling back AI in real ...
amd

AMD Zen Deep Neural Network (ZenDNN)

ZenDNN is a deep neural network acceleration inference library optimized for AMD “Zen” CPU architecture. ZenDNN library comprises of a set of fundamental building blocks and APIs designed to enhance ...