O'Reilly on Data

SEPTEMBER 27, 2018

The O’Reilly Data Show Podcast: Sharad Goel and Sam Corbett-Davies on the limitations of popular mathematical formalizations of fairness. In this episode of the Data Show , I spoke with Sharad Goel , assistant professor at Stanford, and his student Sam Corbett-Davies. They recently wrote a survey paper, “A Critical Review of Fair Machine Learning,” where they carefully examined the standard statistical tools used to check for fairness in machine learning models.

Machine Learning 195

Machine Learning Modeling Statistics IT 195

Business Over Broadway

SEPTEMBER 27, 2018

Retention marketing is about preventing your valuable customers from churning. Reducing customer churn requires you to know two things: 1) which customers are about to churn and 2) which remedies will keep them from churning. In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

IBM Big Data Hub

SEPTEMBER 27, 2018

Daniel Hernandez, VP, IBM Analytics, shares news about IBM's Hortonworks partnership and why OpenShift, IBM Cloud Private, and IBM Cloud Private for Data are gaining momentum.

Analytics 69

Analytics 69

Cloudera

SEPTEMBER 27, 2018

Delivering a positive and memorable customer experience is the cornerstone of nearly every organization. Failure to do so negatively impacts a company’s bottom line and reputation. Each year, companies invest millions of dollars in programs and solutions that aim to improve the customer experience and provide valuable customer insights, but what if for the answer, they only had to look back to the future?

Interactive 40

Interactive Machine Learning Management Analytics 40

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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