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The Official Blog of BigML.com

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Category: Association Discovery

July 15, 2020 Association Discovery / Austria / Case Study / Europe / Partners / Retail

Machine Learning Fights Cannibalization in the Retail Industry

This guest post is authored by Olena Skarlat, Stefanie Pichler, Beatrice Bunjaku, and Pamela Martin, from Vertical Market Solutions at

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May 13, 2020 Anomaly Detection / Association Discovery / Case Study / Ensembles / Machine Learning Schools / OptiML

Machine Learning in Industrial Chemicals: Process Quality Optimization

This post is the last in our series of 5 blog posts highlighting use case presentations from the 2nd Edition

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June 21, 2018 Association Discovery / Feature Engineering / SQL / transformations

Preparing a Machine Learning-Ready Dataset for Market Basket Analysis

BigML Associations can help identify which pairs (or groups) of items occur together more frequently than expected. A typical use

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February 23, 2017 Association Discovery / Ensembles / Topic Models / Tutorial

Predicting the 2017 Oscar Winners

Machine Learning is accelerating its transition from academia to industry. We see more and more media outlets reporting about it,

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December 17, 2015 Algorithms / Association Discovery / New Features / Tutorial

Exploring 250,000+ Movies with Association Discovery

Hot on the heels of our Fall 2015 Release webinar including our Association Discovery (aka Association Rule Learning) implementation, we

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December 1, 2015 API / Association Discovery / BigML.io / Logistic Regression / New Features / Product / Webinar

BigML’s Fall 2015 Release and Webinar: Association Discovery, Logistic Regression, Correlations and More!

We are getting close to the end of fall, but before the official winter welcome, we are very excited to

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July 2, 2015 Association Discovery / Australia / Machine Learning / News & Events

BigML Acquires Best-of-Class Association Discovery Technology ‘Magnum Opus’, Expands Product Offering

Fresh off the news on the opening of our new European headquarters, we are excited to make public that BigML

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