Overview
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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.
Syllabus
Introduction
Agenda
About me
About the talk
Questions
LinkedIn Vision
LinkedIn Mission Statement
The Economic Graph
UCLA
Why
LinkedIn guide
User experience
LinkedIn example
Synonyms
Homonyms
LinkedIn Profile
LinkedIn Manager
First Scale
Hierarchical Cluster
Dendogram
Knearest Neighbors
Classification
Skill Based Approach
Microsoft Office
tfidf
Data Science vs Machine Learning
Anomaly Detection
Visualization
Data Cleaning
Taught by
GOTO Conferences