Co-authors: Krishnaram Kenthapadi, Thanh Tran, Mark Dietz, and Ian Koeppe Preserving privacy of users is a key requirement of web-scale data mining applications and systems such as web search, recommender systems, crowdsourced platforms, and analytics applications. With the growing appreciation of the impact of data breaches and comprehensive data regulations,...
Analytics Articles
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- Topics:
- trust engineering,
- Analytics,
- research,
- Data
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I’m sure everyone who has been following tech industry news knows about “big data” and “AI.” Although there is no industry-consistent definition for either term, most people tend to agree that both have been playing more and more important roles lately, and that we need to know and leverage them better in both our personal and professional lives. But wouldn’t it...
- Topics:
- Craftsmanship,
- data science,
- machine learning,
- Analytics,
- Data
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Qingbo Hu is a Senior Business Analytics Associate in LinkedIn’s Analytics Data Mining team. His team provides end-to-end data mining solutions and builds machine learning models to support our partners from LinkedIn’s various business lines. Prior to joining LinkedIn as a full-time employee, Qingbo completed an internship with us on the Analytics Data Mining...
- Topics:
- engineering culture,
- data science,
- Analytics,
- Data Mining
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What is the shape of your big data? While we do love to talk about the size of our big data—terabytes, petabytes, and beyond—perhaps...
- Topics:
- Big Data,
- machine learning,
- data science,
- Analytics
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Analytics is the discovery, interpretation, and communication of actionable insights from big data. At LinkedIn, we have a...
- Topics:
- data science,
- Analytics,
- Interns
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Introduction Improving site speed is one of the major technology initiatives at LinkedIn because it is highly correlated with the...
- Topics:
- Performance,
- site speed,
- data science,
- Analytics