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藏经阁-Building Competing Models using Spark DataFrames.pdf

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藏经阁-Building Competing Models using Spark DataFrames.pdf

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Abdulla Al Qawasmeh

Engineering Manager, Machine Learning

Credit Karma

Building Competing Models

using Spark DataFrames

Proprietary & Confidential

● Recommendation Problem

● Case Study: John

● Choice of Evaluation Metrics: A Tale of Two Models

● DataFrames & Type Safety

● Gotchas

Outline

Recommendation

Problem

Proprietary & Confidential

Credit Karma helps 60 million members make financial progress

● Revenue stream: Approved financial products

● Verticals: Credit cards, personal loans, auto, mortgages, and tax

● Goal: Recommend products that

● The member is interested in

● The member has a high probability of being approved for

● Have a long term benefit for the member (e.g., pay credit card debt using a

cheaper personal loan)

Recommendation problem

Case Study: John

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