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LinkedIn Learning

LinkedIn AI Academy AI-100: 3 Scaling AI at LinkedIn

via LinkedIn Learning

Overview

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Explore the basics of AI applications and how they’re scaled at LinkedIn, in the third part of the LinkedIn AI Academy AI-100 series.

Syllabus

Introduction
  • The LinkedIn AI Academy: Applying AI at scale
  • Applications of AI at LinkedIn
1. Data Representation Applications
  • LinkedIn Economic Graph
  • Standardization part 1: Information extraction and entity resolution
  • Standardization part 2: GNN applications
  • Content understanding: Topic modeling and representing content as embeddings
2. Application 1: Building Professional Communities
  • PYMK and follow recommendations
  • Helping creators
  • Optimizing feeds and notifications to nurture communities
  • Ads for monetizing the feed
3. Application 2: Jobs Marketplace
  • Job seeker: recommendations and notifications
  • LinkedIn Learning recommendations
  • Recruiter
  • Jobs marketplace optimization
4. Industrialization
  • Tech stack: Offline, online, and nearline components
  • Anomaly detection
  • A/B testing
5. Building Trusted AI Products Responsibly
  • Spam classification
  • Fake accounts
  • Bias in AI models: Fairness
  • Explainability
Conclusion
  • Continuing on with learning AI

Taught by

Suman Sundaresh, Ankan Saha, Jenelle Bray, Ya Xu, Daniel Hewlett, Birjodh Tiwana and Sakshi Jain

Reviews

4.6 rating at LinkedIn Learning based on 118 ratings

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