Hi Blind, I have a machine learning engineer interview at Uber, Twitter, and other places What are the best resources to study for a machine learning interview? I've already read grokking the machine learning interview and went over the following papers (as suggested by another user): Predictive model performance: offline and online evaluations - Yi J, Chen Y, et al Factorization machines - Rendles A Few Useful Things to Know about Machine Learning - Domingos P Rules of Machine Learning : Best Practices * for ML Engineering - Martin Zinkevich Deep Neural Networks for YouTube Recommendations - Covington P, Adams J, et al. Wide & Deep Learning for Recommender Systems - Cheng H, Koc L, et. al. Practical Lessons from Predicting Clicks on Ads at Facebook Thanks in advance!
ISLR book. But you may already know a large chunk of the content.
ESL is good too