TheServerSide

DP-100 Practice Tests on Data Scientist Associate Exam Topics

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...
IEEE

Patient Clustering Optimization With K-Means in Healthcare Data Analysis

Abstract: The technique known as K-Means is used in this study to optimize patient clustering for health care information analysis. Adopting an interpretivist mindset, a deductive method is utilized ...
IEEE

Hybrid Energy-Efficient Clustering With Reinforcement Learning for IoT-WSNs Using Knapsack and K -Means

Abstract: Wireless sensor networks (WSNs) play a fundamental role in the Internet of Things (IoTs), with widespread applications in areas such as smart city infrastructure, industrial control systems, ...
PC Gamer

Krafton is now an 'AI-first company,' will spend $70 million on a GPU cluster to 'serve as the foundation for accelerating the implementation of agentic AI'

AI Palworld studio Pocketpair says its new publishing division won't handle games that use generative AI: 'We don't believe in it' Hardware EA's new owners are leaning heavily on AI to make some money ...
Hosted on MSN

How a Simple Traffic Stop Led to the Capture of Ted Bundy

Ted Bundy was the killer who hid in plain sight - a law student, volunteer, and political worker who fooled everyone. Behind his charm was one of the most prolific murderers in American history. As ...
GitHub

Doubly-Robust-Kernel-Proxy-Variable-Algorithm

This repository provides code for a doubly robust algorithm for Proxy Causal Learning (PCL) using kernel methods, avoiding density ratio estimation. All code is written in Python 3 using the JAX ...