BBVA improves credit card fraud detection system for customers

Leverages automated feature engineering into big savings

Confidently deploy machine learning products and services

Read about the new paradigm for creating ML solutions in “Machine Learning 2.0 for the Uninitiated”

Getting Value from Machine Learning Isn’t About Fancier Algorithms — It’s About Making It Easier to Use

Feature Labs accelerates the error-prone, time-intensive, and costly process of intelligently transforming raw data for machine learning algorithms

Technology to remove the bottlenecks in the data science process

 

Quickly explore data

Reduce the time needed to build end-to-end models and iterate towards better understanding of your data in less time.

Make data "machine learning ready"

Use Deep Feature Synthesis to prepare raw relational and transactions datasets for machine learning or predictive modeling.

Find the right prediction problem

With automation, you can focus on what to solve rather than how to solve it.

Customers

Customers

Machine Learning 2.0 for the Uninitiated

Read about the new paradigm for creating ML solutions in “Machine Learning 2.0 for the Uninitiated”

In the news

In the news

“New MIT algorithm rubs shoulders with human intuition in big data analysis”

The Washington Post

“An Algorithm May Be Better Than Humans at Breaking Down Big Data”

Newsweek

“System that replaces human intuition”

MIT News

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Feature Labs is changing the way companies create new machine learning products and services. We make a web app and developer API to automate time-intensive and error-prone parts of the data science process such as feature engineering. Our customers love our products because they make machine learning easier to use.

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Get in touch

 

Feature Labs is changing the way companies create new machine learning products and services. We make a web app and developer API to automate time-intensive and error-prone parts of the data science process such as feature engineering. Our customers love our products because they make machine learning easier to use.

Follow us on