This repository contains practical implementations of various data mining and warehousing tasks. The projects utilize machine learning models, data preprocessing techniques, and clustering algorithms ...

U.S. Immigration and Customs Enforcement has been data mining personal information from other agencies to identify and locate deportable aliens. This has resulted in 14 lawsuits that allege violations ...

Bidirectional RNN provides greater accuracy in prediction and is a powerful model in Deep Learning when dealing with sequence data. Limitation of uni-directional RNN is that it makes the prediction ...

A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle Design. The approach might overcome many of the longstanding challenges in ...

Analysts say the AI/BTC mining nexus addresses long-term inefficiencies in data center power dynamics, turning excess energy into a new source of value. AI companies are now using excess data center ...

What becomes possible if Excel evolved to a world where cells weren’t limited to just a single, flat, piece of text, but could instead hold a far richer concept? The new data types in Excel feature ...

In recent months, AI (artificial intelligence) workloads have gone from theoretical benchmarks to real-time economic pressure on global infrastructure. From language models serving millions of queries ...

Data can often feel overwhelming—rows upon rows of numbers, scattered information, and endless spreadsheets that seem to blur together. If you’ve ever stared at a dataset wondering how to make sense ...

We’ve all been there—staring at a messy Excel spreadsheet filled with merged cells, inconsistent formats, or cryptic data that seems impossible to untangle. Whether you’re prepping a report for your ...