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...
-
- Topics:
- Data,
- Open Source
-
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...
- Topics:
- data science,
- Data,
- economic graph
-
Co-authors: Rashmi Jain and Sonali Bhadra Search on LinkedIn is an essential part of our members’ experience, with more than 44% of members who visit the site each week performing at least one search. We’re continually working to improve that experience and recently introduced a new streamlined and intuitive search experience that brings together people, jobs,...
- Topics:
- Search,
- Developer Productivity,
- Product Design
-
Co-authors: Vincent Wang, Siddharth Teotia, Manoj Thakur, and Mayank Shrivastava As our LinkedIn Marketing Solutions Blog recently...
-
While site outages are inevitable, it’s our job to minimize both the duration of outages and the likelihood for an outage to occur....
- Topics:
- Performance,
- infrastructure,
- SRE
-
Co-authors: Chris Li, Kevin Lau, and Subbu Sanka Editor’s Note: Recently, the Apache Software Foundation (ASF) announced Apache®...
- Topics:
- Gobblin,
- Big Data,
- Open Source