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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
- 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
- PYMK and follow recommendations
- Helping creators
- Optimizing feeds and notifications to nurture communities
- Ads for monetizing the feed
- Job seeker: recommendations and notifications
- LinkedIn Learning recommendations
- Recruiter
- Jobs marketplace optimization
- Tech stack: Offline, online, and nearline components
- Anomaly detection
- A/B testing
- Spam classification
- Fake accounts
- Bias in AI models: Fairness
- Explainability
- Continuing on with learning AI
Taught by
Suman Sundaresh, Ankan Saha, Jenelle Bray, Ya Xu, Daniel Hewlett, Birjodh Tiwana and Sakshi Jain