Data Storytelling: Who Survived the Titanic? Trump fires new Seattle prosecutor less than an hour after appointment Sam Neill’s cause of death revealed Fetterman reveals what it would take for him to ...

This project performs Exploratory Data Analysis (EDA) on the Titanic dataset using Python. The main goal of the project is to analyze passenger data, identify patterns and trends, and understand the ...

Text-to-video models (Runway, Sora, Veo 3, Pika, Luma) are trained on large datasets of video–text pairs, and data quality directly determines generation quality ("garbage in, garbage out").

Abstract: Data preparation is essential for boosting machine learning model's performance by increasing data quality and lowering noise. This study evaluates the impact of preprocessing on key ...

A new technical paper titled “VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation” was published by researchers at the University of Florida.

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 ...

In the race to develop artificial intelligence, tech giants are building data centers that guzzle up water. That has led to problems for people who live nearby. In the race to develop artificial ...

The era of the “AI proof-of-concept” is closing fast as enterprises look to move past dazzling demos of AI’s potential, to production systems that deliver impactful business outcomes. Yet, as many ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.