data science Articles

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    An update on Responsible AI at LinkedIn

    May 24, 2021

    Co-authors: Parvez Ahammad, Kinjal Basu, Shaunak Chatterjee, Sakshi Jain, Ryan Rogers, and Guillaume Saint-Jacques At LinkedIn, our guiding principle is “Members First.” It ensures we honor our responsibility to protect our members and maintain their trust in every decision we make, and puts their interests first. A key area where we apply this value in...

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    Greykite: A flexible, intuitive, and fast forecasting library

    May 13, 2021

    Co-authors: Reza Hosseini, Albert Chen, Kaixu Yang, Sayan Patra, Rachit Arora, and Parvez Ahammad In this blog post, we introduce the Greykite library, an open source Python library developed to support LinkedIn’s forecasting needs. Its main forecasting algorithm, called Silverkite, is fast, accurate, and intuitive, making it suitable for interactive and...

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    How to build an effective professional network on LinkedIn: Some data-driven insights

    May 4, 2021

    Co-authors: YinYin Yu, Guillaume Saint Jacques, and Paul Matsiras Introduction In 2019, LinkedIn announced an initiative to close the network gap as part of our commitment to equity, and ensuring that everyone has equal access to opportunity. We asked people to take the Plus One Pledge and help someone outside of their network who may not have access to the same...

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    Celebrating Innovation, Success, and the Future at Data...

    September 30, 2020

    Last week, the global LinkedIn Data Science team joined together for our third-annual Data Science Week. This virtual event included...

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    Bringing Project Every Member to life: Open sourcing our...

    May 26, 2020

    Co-authors: Guillaume Saint-Jacques, Stuart Ambler Last month on this blog, we introduced how we are building inclusive products...

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    Building inclusive products through A/B testing

    March 31, 2020

    Co-authors: Guillaume Saint-Jacques, Amir Sepehri, Nicole Li, and Igor Perisic Introduction Previously on this blog, we’ve shared...