How-To Geek on MSN

How to Use pandas DataFrames in Python to Analyze and Manipulate Data

pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into DataFrames and offers lots of operations you can perform on this data. It was ...
IEEE

An Iterative Re-Weighting Algorithm for Element to Solve Sparsity-Regularized Linear Inverse Problem and an Application in Sparse-Spike Deconvolution of Seismic Data

Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...
WRIC

Firefighters respond to another blaze at Chesterfield data center just weeks after previous fire

CHESTERFIELD COUNTY, Va. (WRIC) — Just weeks after a fire blazed inside a room in a Chesterfield data center, firefighters responded to another blaze at the same location Monday morning. In the ...
CoinDesk

Legislation Steering U.S. Fate of Crypto Emerges in New Version in Senate

The U.S. Senate's work on the crypto industry's top policy priority — a bill to establish the regulatory workings of crypto markets in the U.S. — advanced further on Friday with the private ...
Finextra

Bank of England and BIS develop off-the-shelf module for analysing ISO 20022 data

This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. The increased use of the ISO 20022 standard for payment ...
InfoWorld

Databot: AI-assisted data analysis in R or Python

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...
GitHub

Ranking, Order Statistics, and Sorting under CKKS

This repository provides a library for performing ranking, order statistics, and sorting operations using the CKKS (Cheon-Kim-Kim-Song) homomorphic encryption scheme. Our code is built on top of the ...
Medical Xpress

New AI tool addresses accuracy and fairness in data to improve health algorithms

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms—addressing a ...
GitHub

Project Title: Feature Engineering and Imbalanced Data in Money Laundering Detection: A Comparative Study of ML Algorithms

This project primarily used the small dataset with a high illicit ratio, which contains 5,078,345 financial transactions spanning 10 days.It effectively addresses challenges such as overlap and ...
Hosted on MSN

‘Colossal Structure’ In the Early Universe Visualized Using Very Large Telescope Data

A galaxy proto-supercluster was discovered using VIMOS instrument of ESO’s Very Large Telescope. The astronomers who discovered it have nicknamed the bohemoth “Hyperion.” It has been visualized here.
IEEE

Data Compression-Based Model-Free PI Algorithm for Sparse LQT Control in Interconnected Multimachine Power Systems

Abstract: This study delves into the distributed linear quadratic tracking (LQT) problem within interconnected multimachine power systems (IMMPSs), and proposes a model-free policy iteration (PI) ...