Getting Started with Recommendation Systems

Great Learning · Beginner ·🖌️ UI/UX Design ·3mo ago

Key Takeaways

Introduces recommendation systems and algorithms used by Netflix, Amazon, and Spotify to personalize content

Original Description

Ever wondered how Netflix, Amazon, and Spotify always seem to know what you will love next? This session by Angel Das (Senior Consultant, IQVIA Asia Pacific) will demystify the algorithms that power personalized recommendations. Learn how recommendation engines analyze user behavior, personalize content, and drive engagement across industries. Explore key algorithms, real-world applications, and simple ways to start building recommendation models. Whether you are new to data science or looking to expand your AI knowledge, this session will provide you with valuable insights. For more details, check out the AI and Data Science Program. https://shorturl.at/MLk9o
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

⚡
A Young Designer’s Question: What Are Companies Actually Hiring For?
Learn what companies are actually hiring for in UX design and how to position yourself for success
Medium · UX Design
 ⚡
Why Clear Calls-to-Action Are Essential for Business Websites
Learn why clear calls-to-action are crucial for business websites to convert visitors into customers
Medium · UX Design
 ⚡
AI in Design: The Skill That Gets Scarce When Making Gets Cheap.
Learn how AI is changing the design industry by making creation cheaper and more abundant, shifting the designer's role to curator and decision-maker
Medium · AI
 ⚡
Sheba Manager Mobile Apps: Retail OS in the Palm of a Merchant’s Hand
Learn how a Sr. Product Designer revamped the Sheba Manager Mobile app to create a retail OS for merchants
Medium · UX Design
Up next
Answering Revit Questions for Reddit
Balkan Architect
Watch →