Industry Classification Benchmark (ICB): A Guide for Investors

The Industry Classification Benchmark (ICB) is a globally recognized system that categorizes stocks into industries, ...

From Text To Tables: Why Structured Data Is AI’s Next $600B Frontier

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Accounting Spreadsheet Example for Businesses

Learn how accounting spreadsheets work with real examples of journals plus when to switch to accounting software.
Digital Trends

NotebookLM can turn your messy data into structured tables for Google Sheets

Google has added a new feature to NotebookLM that turns messy research into something you can actually use. The company has introduced Data Tables, a tool that pulls information from multiple sources ...
SciELO

Obesity classification: a comparative study of machine learning models excluding weight and height data

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...
MIT Technology Review

A major AI training data set contains millions of examples of personal data

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
IEEE

High Accuracy Data Classification and Feature Selection for Incomplete Information Systems Using Extended Limited Tolerance Relation and Conditional Entropy Approach

Abstract: Data classification and feature/attribute selection approaches play important role in enabling organizations to extract meaningful insights from vast and complex datasets. Besides, the ...