Discover Your Product’s “7 Friends in 10 Days”

How to discover your product's version of Facebook's "7 friends in 10 days" and learn the thresholds in user activity you need to activate a user throughout their customer journey.

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Programmatically Managing an Evergreen Facebook Marketing Campaign

Describes a method to programmatically manage Facebook Custom Audiences.

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Explaining Your Machine Learning Model (or 5 Ways to Assess Feature Importance)

Machine Learning can often be a black box. To gain actionable insights, its helpful to know how a variable influences a model. Here we outline 5 ways to assess feature importance to affecting the probability of an outcome.

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Using Apache Spark for Machine Learning – Benefits of DataFrames vs. RDDs

After several months building on Apache Spark here are some lessons we learned about the benefits of DataFrame vs RDDs and several situations in which the RDD API may still be preferable.

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How to Automatically Segment Your Data with Clustering

One of the most common analyses we perform is to look for patterns in data. What market segments can we divide our customers into? How do we find clusters of individuals in a network of users?

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