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Product
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Engineering
16
Oct
Upgrading ReSci from Rails 3.2 to 5.1
16
Oct
Upgrading ReSci from Rails 3.2 to 5.1
31
Jul
Is RFM still king? A data science evaluation
11
Nov
Solving Cold Start Product Recommendations in e-Commerce
29
Aug
Are You Sending Price Drop, New Arrivals, and Back in Stock Emails to The Wrong Customers?
18
Aug
Female, Male, or Neutral? Filtering Based on Gender
28
Jun
Behind the Data Science: Sending Item Alerts to the Right Users
29
May
Machine Learning Predictions for Subscription Companies
14
May
The Smart Marketer: When to Use Multi-Armed Bandit A/B Testing
06
May
Scaling Recommendation Engine: 15,000 to 130M Users in 24 Months
06
Apr
3 Major Recommendation Algorithm Mistakes Fortune 500 Companies Make
02
Nov
Automating Machine Learning Monitoring [RS Labs]
22
Sep
Feature Engineering: A Closer Look, Part 2 [RS Labs]
24
Aug
Feature Engineering: A Closer Look, Part 1 [RS Labs]
11
Aug
Evaluating Machine Learning Predictions: Customer Churn & CLV [RS Labs]
12
Nov
Retention Metrics Explained: Lead Scoring, Pt. 2 [RS Labs]
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