Build an AI powered recommendation system (in one hour)
Hosted by Shreyans Bhansali
What you'll learn
The magic of vector embeddings
Transform any type of data into powerful representations that capture deep semantic meaning and relationships.
Connect different data types in a universal space
Learn how to compare apples to oranges - discover techniques to meaningfully relate users, content, products, and more.
Build a production-ready recommendation engine
Take your knowledge from theory to practice by implementing a real recommendation system that can scale and adapt.
Why this topic matters
Recommendation systems power all kinds of digital experiences that we interact with daily, from content discovery to product suggestions. By understanding embeddings, you'll learn how to build a simple but powerful recommendation systems yourself, opening up possibilities for personalization across any domain where users interact with content or products.
You'll learn from
Shreyans Bhansali
Co-founder / CTO at Maven. Formerly Google and 1st engineer at Venmo.
Shreyans Bhansali is currently co-founder and CTO of Maven. He was previously the 1st engineer at Venmo, and co-founded Socratic, an AI powered education app acquired by Google.
Previously at Google, Venmo, Socratic
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