1. ML Fundamentals and Feature Selection
During an interview round focusing on ML Fundamentals, you are expected to introduce yourself, talk about past projects (especially if they are research-oriented), and answer basic ML knowledge questions. One specific question mentioned is about the distribution of X by class, where two curves have an overlap. You need to discuss whether it is linearly separable and how to choose a threshold for the overlapping part. Additionally, the importance of feature selection in the work context is emphasized.
2. ML System Design
Design a 'watch next' recommender system for a video browser on a mobile app, based on Reddit.
3. Machine Learning Design Question
Brainstorm model improvement ideas for a machine learning design problem, and discuss how you would persuade a product manager to adopt your idea.
