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Engineering

  • 16Oct

    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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