Dataconomy

JUNE 11, 2025

What defines high-quality data annotation? Supervised learning means training an AI model using examples with labels. If labels are wrong or messy, the model learns the wrong thing. It’s where model accuracy begins. Not all labels are equal. These annotations tell the model what it’s looking at or working with.

AI 91

AI AI Data Quality Supervised Learning 91

IBM Journey to AI blog

AUGUST 15, 2023

Artificial intelligence (AI) adoption is here. In fact, the use of artificial intelligence in business is developing beyond small, use-case specific applications into a paradigm that places AI at the strategic core of business operations.

Artificial Intelligence 93

Artificial Intelligence Artificial Intelligence AI AI 93

ODSC - Open Data Science

MARCH 22, 2023

A recent report by Cloudfactory found that human annotators have an error rate between 7–80% when labeling data (depending on task difficulty and how much annotators are paid).

ML 88

ML ML Data Scientist AI 88

How to Learn Machine Learning

MAY 14, 2025

For example, if you’re building: An object detection model to identify vehicles on roads A gesture recognition system for human-computer interaction A facial emotion recognition model for sentiment analysis Having high-quality MP4 files will give your algorithms the clean data they need to learn effectively.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

AWS Machine Learning Blog

NOVEMBER 27, 2023

Generative artificial intelligence ( generative AI ) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. However, these models require massive amounts of clean, structured training data to reach their full potential. read HTML).

Data Preparation 104

Data Preparation AI AI Python 104

Towards AI

FEBRUARY 11, 2025

From speech recognition breakthroughs to large-scale language models, the story of AI is fundamentally a story of data. The Scaling Hypothesis: Bigger Data, Better AI? Ill say it again the story of artificial intelligence over the past decade is fundamentally a story about data.

Data Quality 53

Data Quality Data Engineering Data Engineer Data Engineering 53

Women in Big Data

DECEMBER 13, 2023

Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that helps computers understand, interpret and manipulate human language. AI is transforming the tech industry and I’m excited to learn more about this industry as a whole. Computational Linguistics is rule based modeling of natural languages.

Natural Language Processing 52

Natural Language Processing Big Data Big Data Computer Science 52