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  • ML bias: guidelines to make ML models ethical and reduce risks of discrimination
    2022-01-11 09:45:33

    ML bias: guidelines to make ML models ethical and reduce risks of discrimination

    Anna Via

  • How to Simulate a Global Delivery Platform
    2021-12-30 08:49:04

    How to Simulate a Global Delivery Platform

    Alex Goldhoorn

  • Dramatically reducing CO2 emissions using incremental learning
    2021-11-30 17:10:59

    Dramatically reducing CO2 emissions using incremental learning

    Adrià Salvador Palau

  • Cash is king: how our real-time Machine Learning models minimize the risk of payments in cash
    2021-10-21 11:34:59

    Cash is king: how our real-time Machine Learning models minimize the risk of payments in cash

    Daniel Cañueto

  • Publishing a variant-aware Android library with its sources
    2021-09-22 11:37:15

    Publishing a variant-aware Android library with its sources

    Guillermo Mazzola

  • Linting and formatting Swift code in our apps
    2021-09-20 07:13:12

    Linting and formatting Swift code in our apps

    Cecília Saraiva

  • Google My Business integration — the story of the hexagon, the microservice and the monolith
    2021-08-16 07:17:55

    Google My Business integration — the story of the hexagon, the microservice and the monolith

    Bogusław Zaręba

  • Publishing native artifacts from a Kotlin Multiplatform project
    2021-07-30 12:47:53

    Publishing native artifacts from a Kotlin Multiplatform project

    Guillermo Mazzola

  • Kotlin Multiplatform at Glovo
    2021-07-30 12:46:10

    Kotlin Multiplatform at Glovo

    Guillermo Mazzola

  • A Great Leap Sideways: My journey of transitioning from an individual contributor to a leader
    2021-07-28 07:07:39

    A Great Leap Sideways: My journey of transitioning from an individual contributor to a leader

    Dillon Urry

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