Netflix ML Question - Design a System to Predict Netflix Watch Times (Full mock interview)

Ace your machine learning interviews with Exponent’s ML engineer interview course: https://bit.ly/488VWnC This interview delves into the use of machine learning in predicting Netflix watch time. Our guest covers a wide range of topics, including data utilization, feature engineering, supervised and unsupervised approaches, and similarity metrics. They also discuss the potential for combining these approaches to create a versatile recommendation system. Additionally, the interview explores challenges related to model deployment, temporal effects, and considerations for retraining. This conversation shows the complexities of machine learning for watch time prediction. Chapters (Powered by ChapterMe) - 00:00 - Intro 00:29 - Design goal Netflix watch time prediction 01:36 - Access to user data demographic, movie, show features 04:47 - Training model for watch time prediction 09:42 - Sparse matrix, similarity search, metrics 13:12 - Pearson correlation for watch time prediction 15:02 - Unsupervised methods offer advantages over supervised 18:24 - Linear model embeddings simplify learning 19:03 - Deployment issues and model integration 23:16 - Matrices for similarity over latent factor models 24:17 - Issues with supervised hot feature vectors 25:22 - Supervised feature-based prediction using embedding space 27:43 - Outro Want more machine learning content? - 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 video? 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! #techjobinterviewprep #interviewtips #jobinterviewpreparation #Exponent #machinelearningengineer #MachineLearning #NetflixPredictions #InterviewPreparation #NetflixWatchTimePrediction #recommendationsystems