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...
Data Mining Articles
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- Topics:
- engineering culture,
- data science,
- Analytics,
- Data Mining
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This is the second post of a two-part series about Voices, a text analytics platform built by LinkedIn. Part I gives a general overview of Voices, while Part II will go into further detail about the technical aspects of topic mining specifically. Topic mining, also known as topic modeling, is the technique of extracting the most important concepts from a...
- Topics:
- Data Mining,
- nlp
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Background LinkedIn’s FeatureFu project is a new open source toolkit designed to enable creative and agile feature engineering for most machine learning tasks such as statistical modeling (classification, clustering, and regression) and rule-based decision engines. In this blog post, we will detail the design and implementation of Expr in FeatureFu, provide...
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Around this time of year, thousands of college students are getting ready to graduate and make their move into the workforce. This...
- Topics:
- Big Data,
- Data Mining,
- economic graph
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Every year researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data...
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We built our Similar Profiles algorithm using a variety of features that represent our members’ professional identity, such as their...