LinkedIn

How LinkedIn’s Ocelot Platform Improvises Observational Causal Inference

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LinkedIn, the world's biggest professional network on the Internet, considers user experience its number one priority. The team at LinkedIn pays a lot of...

LinkedIn Open-Sources ‘Venice,’ LinkedIn’s Derived Data Platform that Powers more than 1800 Datasets

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Recently, LinkedIn announced that they would soon open-source Venice, their derived data platform. Venice is the engine behind more than 1800 LinkedIn datasets and...

Latest AI Research From CMU and LinkedIn Explains Long-term Dynamics of...

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Nowadays, several social networking sites heavily rely on connection recommendations. Surveys reveal that connection suggestions may make up more than 50% of the social...

LinkedIn Open-Sources ‘Feathr’, It’s Feature Store To Simplify Machine Learning (ML)...

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This article summary is based on the LinkedIn's research article: 'Open sourcing Feathr – LinkedIn’s feature store for productive machine learning' Please don't forget...

LinkedIn Engineering Team Develops ‘Opal’ to Ingest Mutable Data and Build...

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This article is based on the research article from Linkedin Engineering 'Opal: Building a mutable dataset in data lake' Trusted data platforms and high-quality data...

LinkedIn Researchers Open-Source ‘FastTreeSHAP’: A Python Package That Enables An Efficient...

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Researchers from LinkedIn open-source the FastTreeSHAP package which is a Python module based on the paper 'Fast TreeSHAP: Accelerating SHAP Value Computation for Trees.'...

Researchers From CMU and LinkedIn Open-Sources The Implementation of PASS (Performance-Adaptive Sampling...

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Understanding the relationships between entity sets maintained in a database is critical. In this context, an entity is an object or a data component. Entity...

Latest LinkedIn AI Research on Using Bayesian Optimization for Balancing Metrics...

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The majority of large-scale recommender systems, such as newsfeed ranking, people recommendations, job recommendations, and so on, have many objectives that must be optimized...

LinkedIn Introduces DARWIN: A Unified “One-Stop” Data Science and Artificial Intelligence...

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LinkedIn is the world's largest professional network, producing enormous amounts of high-quality data. Data scientists and AI developers have been using various tools to...

LinkedIn Formulates Entity Inference As An Inference Problem Using Graph Neural...

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LinkedIn allows its users to add information about themselves to their profiles, such as their career history, education, abilities, to name a few. They...

LinkedIn Open-Sources ‘Greykite’, A Time Series Forecasting Library

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LinkedIn recently opened-sourced Greykite, a Python library originally built for LinkedIn’s forecasting needs. Greykite’s main algorithm is Silverkite, which delivers automated forecasting, which LinkedIn uses...

LinkedIn Releases Dagli, An Open Source Machine Learning Library For Java

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While machine learning development is increasing every day, a survey from Algorithmia states that most enterprises spend between 8 to 90 days deploying an ML model....

LinkedIn Introduces Pensieve: An Embedding Feature Platform Using Supervised Deep Learning...

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The LinkedIn Talent Solutions and Careers team aims to build an efficient marketplace for job-seeking members and employers. LinkedIn achieves this by matching members...

LinkedIn Open-Sources GDMix: An AI Framework For Deep Ranking Personalization

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LinkedIn open-sources Generalized Deep Mixed Model (GDMix), a framework that makes training of AI personalization models more efficient. It supports deep learning models and...

LinkedIn open-sources LiFT to enable the measurement of fairness in large-scale...

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Although there are many approaches and libraries presently in practice to analyze fairness in machine learning models, they all are still limited to some...

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