machine learning

Building Competing Models Using Apache Spark DataFrames

Abdulla Al-Qawasmeh

  Tech Talks: Building Competing Models Using Apache Spark DataFrames from Credit Karma on Vimeo. In this video, Abdulla Al-Qawasmeh, Engineering Manager, talks about the important role model calibration plays in the performance of Credit Karma’s recommendation system, and how to build predictive recommendation models using Apache Spark DataFrames.

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How to Use a Proof of Concept to Win Over Skeptics

Sam Mirani

Some time ago, we held a coding event to show proof of concept for Prophecy, our new general prediction platform. Our legacy platform was outdated, running a minimum viable product that we endlessly hacked to scale. We knew machine learning could help our users get more tailored offers, recommendations to help them build their credit, […]

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Understanding Akka’s Quarantine State

Scott Livingston

Originally posted in Scott Livingston’s blog At Credit Karma, my team maintains a service powered by a multi node Akka cluster. Akka is a framework for building distributed, concurrent, and message-driven systems in Scala. It helps us easily scale our service, and gives us some resilience when problems inevitably happen in production. In this post, I’ll cover two […]

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