Spotify ML Question - Design a Recommendation System (Full mock interview)

Ace your machine learning interviews with Exponent’s ML engineer interview course: https://bit.ly/3GfjGuq In this ML mock interview, a FanDuel machine learning engineer designs a machine learning system for personalizing music recommendations on Spotify, highlighting data preparations, metrics, model choices, production considerations, and room for improvement. Chapters (Powered by ChapterMe) - 00:00 - Intro 01:52 - Data engagement, clicks, users, metadata 06:32 - Building models in batches or real-time 07:05 - Data pipeline design and features overview 09:19 - Data normalization for Spotify users clicks 12:13 - Data cleanup and age group predictions 16:11 - Content filtering and collaborative filtering for recommendation 20:07 - Choosing model, collaborative filtering, pitfalls 21:34 - Importance of training, validation, and production 22:15 - Cloud computing simplifies model testing 23:50 - Metrics and model success 24:44 - Engagement and churn metrics determine models performance 26:10 - Key insights for recommending artists 30:04 - ML interview analysis key takeaways 31:18 - Game plan, production, and detail improvement Want more Machine Learning content? - Machine Learning Interview - Training AI to Detect Botshttps://youtu.be/_eT6SYb5sZM - Fake News Detection System - Machine Learning Mock Interview - https://youtu.be/qrNqUwpypT8 - Amazon Machine Learning Engineer Interview: K-Means Clustering - https://youtu.be/xKZHH-UOsUM - How to Become a Machine Learning Engineer - https://youtu.be/VP8eC3I1IHQ 👉 Subscribe to our channel: http://bit.ly/exponentyt 🕊️ Follow us on Twitter: http://bit.ly/exptweet 💙 Like us on Facebook for special discounts: http://bit.ly/exponentfb 📷 Check us out on Instagram: http://bit.ly/exponentig 📹 Watch us on TikTok: https://bit.ly/exponenttiktok ABOUT US: Did you enjoy this interview question and answer? Want to land your dream career? Exponent is an online community, course, and coaching platform to help you ace your upcoming interview. Exponent has helped people land their dream careers at companies like Google, Microsoft, Amazon, and high-growth startups. Exponent is currently licensed by Stanford, Yale, UW, and others. Our courses include interview lessons, questions, and complete answers with video walkthroughs. Access hours of real interview videos, where we analyze what went right or wrong, and our 1000+ community of expert coaches and industry professionals, to help you get your dream job and more! #machinelearning #machinelearninginterview #mlinterview #machinelearningprojects