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mgrover

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Karma
228
Created
September 10, 2012 (14y ago)
Submissions
0
  1. Gap between data production and consumption (mark-grover.medium.com)
    12 points 1
  2. What Is Data Science at Lyft? (eng.lyft.com)
    1 points 0
  3. Scaling Driver Compliance Across Lyft (eng.lyft.com)
    4 points 0
  4. Flyte: A Cloud Native Machine Learning and Data Processing Platform (eng.lyft.com)
    135 points 19
  5. The Machine Learning Software Engineering Interview (eng.lyft.com)
    238 points 74
  6. Open Sourcing Amundsen: A Data Discovery and Metadata Platform (eng.lyft.com)
    9 points 1
  7. Solving a linear optimization problem on incentive allocation (eng.lyft.com)
    115 points 22
  8. Securing Apache Airflow UI with DAG Level Access (eng.lyft.com)
    8 points 0
  9. The Machine Learning Software Engineering Interview (eng.lyft.com)
    3 points 0
  10. Operating Apache Kafka Clusters 24/7 Without a Global Ops Team (eng.lyft.com)
    5 points 0
  11. Making long term forecasts at Lyft (eng.lyft.com)
    3 points 0
  12. Solving a linear optimization problem on incentive allocation (eng.lyft.com)
    3 points 0