Today I am interviewing Dan for a second time on a machine learning system design problem centered around Youtube recommendations.

Here’s the question we’re tackling: https://www.interviewquery.com/questions/youtube-recommendations
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We go over how to build a recommendation system for Youtube, what kind of machine learning algorithms we would use, what the edge cases would be, how we could account for performance and scaling, and much more! For the full video please check out Interview Query

Quick Links:
0:55 – Youtube Recommendations Interview Question
3:35 – Collaborative Filtering
10:50 – Cold Start Problem?

More from Jay:
Read my personal blog: https://datastream.substack.com/
Follow me on Linkedin: https://www.linkedin.com/in/jay-feng-ab66b049/
Find me on Twitter: https://twitter.com/datasciencejay

Related Links:
Google ML Engineer Interview Profile: https://www.interviewquery.com/interview-experiences/google/machine-learning-engineer
Google data scientist interview: https://www.interviewquery.com/blog-the-google-data-scientist-interview

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