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”

Automated Feature Engineering for the Enterprise

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

Stay up to date

Get the latest updates from Feature Labs

Get in touch

Feature Labs builds tools and API’s to deploy impactful machine learning solutions by combining open source software and proprietary algorithms for automated feature engineering. Contact us to learn how we can help you succeed with data science and predictive modeling endeavors.

Follow us on

 

Get in touch

 

Feature Labs builds tools and API’s to deploy impactful machine learning solutions by combining open source software and proprietary algorithms for automated feature engineering.

Follow us on