Machine Learning Times
Machine Learning Times
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How Generative AI Helps Predictive AI
 Originally published in Forbes, August 21, 2024 This is the...
4 Ways Machine Learning Can Perpetuate Injustice and What to Do About It
 Originally published in Built In, July 12, 2024 When ML...
The Great AI Myth: These 3 Misconceptions Fuel It
 Originally published in Forbes, July 29, 2024 The hottest thing...
Where FICO Gets Its Data for Screening Two-Thirds of All Card Transactions
 Originally published in The European Business Review, March 21,...

uplift modeling

Experimenting with Machine Learning to Target In-App Messaging

 Originally published in Spotify R&D Engineering, June 28, 2023. Messaging at Spotify At Spotify, we use messaging to communicate with our listeners all over the world. Our Messaging team powers and creates delightful foreground and background communications across the Spotify experience, experimenting with and tailoring the perfect journey for each user across our platform. Today

Measuring Invisible Treatment Effects with Uplift Analysis

  Models make predictions by identifying consistent correlations in what has been observed, but we usually require more than predictions to know what action we should take. For example, knowing that older people are more likely to...

Wise Practitioner – Predictive Analytics Interview Series: Feyzi Bagirov at Becker College

 In anticipation of his upcoming conference presentation, Acquisition Funnel for Higher Education at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we asked Feyzi Bagirov, Data Science Advisor at Metadata.io and Analytics Instructor, Harrisburg...

Wise Practitioner – Predictive Analytics Interview Series: Holly Lyke-Ho-Gland and Michael Sims at APQC

 In anticipation of their upcoming conference co-presentation, Change Management for Establishing a Data-Driven Culture, at Predictive Analytics World for Business Chicago, June 19-22, 2017, we asked Holly Lyke-Ho-Gland, Principal Research Lead at APQC and Michael Sims, Research...

Wise Practitioner – Predictive Analytics Interview Series: Natasha Balac at Data Insight Discovery, Inc.

 In anticipation of her upcoming conference co-presentation, Identifying Unique Gamer Types Using Predictive Analytics, at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Natasha Balac, CEO and Founder of Data Insight Discovery, Inc., a few...

Wise Practitioner – Predictive Analytics Interview Series: Bryan Bennett at Northwestern University

 In anticipation of his upcoming conference presentation, Cross-Enterprise Deployment:  Banking Visualization of Analytics Results – Critical for Communication at Predictive Analytics World for Business Chicago, June 19-22, 2017, we asked Bryan Bennett, Professor at Northwestern University, a...

Uplift Modeling: Making Predictive Models Actionable

 Predictive models typically estimate the likelihood of future events, such as whether it will rain tomorrow or which customers are most likely to “churn” by cancelling their phone contract.  In the case of the weather, we do...

Wise Practitioner – Predictive Analytics Interview Series: David Talby at Atigeo

 In anticipation of his upcoming conference presentation, Semantic Natural Language Understanding with Spark, Machine-Learned Annotators & Deep-Learned Ontologies at Predictive Analytics World San Francisco, May 14-18, 2017, we asked David Talby, Chief Technology Officer at Atigeo, a...

Wise Practitioner – Predictive Analytics Interview Series: Angel Evan at Angel Evan, Inc.

In anticipation of his upcoming conference co-presentation, Identifying Unique Gamer Types Using Predictive Analytics at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Angel Evan, Founder of Angel Evan, Inc., a few questions about his...

Wise Practitioner – Predictive Analytics Interview Series: George Iordanescu at Microsoft

 In anticipation of his upcoming conference presentation, Predictive Analytics Solution Template for Early Prediction of Assembly Line Failures, at Predictive Analytics World Manufacturing Chicago, June 19-22, 2017, we interviewed George Iordanescu, Data Scientist at Microsoft.  View the...

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