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: [ Ссылка ]
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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?
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Related Links:
Google ML Engineer Interview Profile: [ Ссылка ]
Google data scientist interview: [ Ссылка ]
Google Machine Learning System Design Mock Interview
Теги
youtube recommendationsyoutube recommendation algorithmsyoutube machine learningmachine learning interviewsystem design interviewmachine learning system designml interview questionsmachine learning interview questionsgoogle ml interview questionsmicrosoft interview questionsmachine learning design interviewmodeling interview questionsdata science interview questionsmachine learning case studymachine learning
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