Towards AI

JUNE 12, 2024

It all started with Word2Vec and N-Grams in 2013 as the most recent in language modelling. 2013 Word2Vec is a neural network model that uses n-grams by training on context windows of words. 2013 Word2Vec using n-grams was introduced by Mahajan, Patil, and Sankar in their 2013 paper titled, ‘Word2Vec Using Character N–Grams’.

Natural Language Processing 100

Natural Language Processing Data Quality AI AI 100

Dataversity

OCTOBER 4, 2021

In 2013, the big data headline was the incredible statistic that 90% of all data in the history of the entire human race had been created in the previous two years. The amount of structured and unstructured data we’ve created was so mind-boggling that we deemed it […]. Click to learn more about author Gary Lyng.

Big Data 52

Big Data Big Data Data Quality Data Governance 52

ODSC - Open Data Science

FEBRUARY 28, 2023

Making Data Observable Bigeye The quality of the data powering your machine learning algorithms should not be a mystery. Bigeye’s data observability platform helps data science teams “measure, improve, and communicate data quality at any scale.”

Data Science 96

Data Science Machine Learning Machine Learning AI 96

Flipboard

MAY 30, 2025

Data quality is ownership of the consuming applications or data producers. Governance The two key areas of governance are model and data: Model governance Monitor model for performance, robustness, and fairness. Since 2013 he has helped AWS customers adopt AI/ML technology as a Solutions Architect.

AWS 141

AWS AI AI Database 141

Towards AI

APRIL 23, 2024

The models were trained on highly filtered web data and synthetic data (3.3T tokens) and traveled further along the path of data quality prioritization. Microsoft’s release of Phi-3 3.8B, 7B, and 14B has even more impressive benchmark scores relative to model size. The Pile, and SlimPajama.

AI 103

AI AI Data Quality Artificial Intelligence 103

Tableau

JANUARY 27, 2021

And our unique approach to data management provides valuable metadata, lineage, and data quality alerts right in the flow of users’ analysis, while providing the security and governance you need. This means increased transparency and trust in data, so everyone has the right data at the right time for making decisions.

Tableau 102

Tableau Business Intelligence Business Intelligence Analytics 102

AWS Machine Learning Blog

JUNE 23, 2023

Lastly, you should prepare your data for Snowflake We use credit card transaction data from Kaggle to build ML models for detecting fraudulent credit card transactions, so customers are not charged for items that they didn’t purchase. The dataset includes credit card transactions in September 2013 made by European cardholders.

ML 97

ML ML Database AWS 97