Remove 2009 Remove Data Engineering Remove ML
article thumbnail

Best 13 Free Financial Datasets for Machine Learning [Updated]

Iguazio

How can financial services companies build, expand and optimize their use of data and ML? Open and free financial datasets and economic datasets are an essential starting point for data scientists and engineers who are developing and training ML models for finance. But sadly, they can be hard to come by.

article thumbnail

McKinsey QuantumBlack on automating data quality remediation with AI

Snorkel AI

I’m joined by Brian Richardson, who’s an Associate Partner, and Senior Data Scientist at Quantum Black, and also leads our data-centric AI efforts across Quantum Black and McKinsey globally. By way of explanation, Quantum Black is a machine learning engineering services company that started back in 2009.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

McKinsey QuantumBlack on automating data quality remediation with AI

Snorkel AI

I’m joined by Brian Richardson, who’s an Associate Partner, and Senior Data Scientist at Quantum Black, and also leads our data-centric AI efforts across Quantum Black and McKinsey globally. By way of explanation, Quantum Black is a machine learning engineering services company that started back in 2009.

article thumbnail

McKinsey QuantumBlack on automating data quality remediation with AI

Snorkel AI

I’m joined by Brian Richardson, who’s an Associate Partner, and Senior Data Scientist at Quantum Black, and also leads our data-centric AI efforts across Quantum Black and McKinsey globally. By way of explanation, Quantum Black is a machine learning engineering services company that started back in 2009.

article thumbnail

Analyzing the history of Tableau innovation

Tableau

Working with multiple tables got a significant boost with cross data source actions in v5.0 (May June 2006), which allowed users to maintain live connections to their database, extract the data to work offline, or seamlessly switch between the two. Another key data computation moment was Hyper in v10.5 (Jan March 2021).

Tableau 145
article thumbnail

Analyzing the history of Tableau innovation

Tableau

Working with multiple tables got a significant boost with cross data source actions in v5.0 (May June 2006), which allowed users to maintain live connections to their database, extract the data to work offline, or seamlessly switch between the two. Another key data computation moment was Hyper in v10.5 (Jan March 2021).

Tableau 98