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Introduction
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Agenda
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About me
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About the talk
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Questions
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LinkedIn Vision
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LinkedIn Mission Statement
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The Economic Graph
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UCLA
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Why
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LinkedIn guide
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User experience
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LinkedIn example
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Synonyms
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Homonyms
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LinkedIn Profile
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LinkedIn Manager
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First Scale
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Hierarchical Cluster
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Dendogram
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Knearest Neighbors
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Classification
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Skill Based Approach
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Microsoft Office
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tfidf
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Data Science vs Machine Learning
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Anomaly Detection
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Visualization
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Data Cleaning
Description:
Explore the concept of the Economic Graph and its significance in professional networking during this GOTO Chicago 2015 conference talk. Delve into LinkedIn's vision and mission statement as Vitaly Gordon, former Data Science Director at LinkedIn, discusses the creation of a comprehensive map connecting people, companies, jobs, skills, educational institutions, and professional knowledge. Learn about the challenges and solutions in computing professional identity, including dealing with synonyms and homonyms in user profiles. Discover the various approaches used, such as hierarchical clustering, k-nearest neighbors classification, and skill-based methods. Gain insights into the differences between data science and machine learning, and understand the importance of anomaly detection, visualization, and data cleaning in building a robust Economic Graph.

Computing Professional Identity for the Economic Graph

GOTO Conferences
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