Personal ability grows fast, familiar with work experience.
996 work time all day, one person works like two people, overload.
The interviewer first asked about details of past experiences on my resume (professional and research). Then, there were some questions about machine learning theories, recommendation algorithms, and NLP knowledge. At last, I was given an algorithm
The interview was taken on Sunday. Describe projects done on the resume and answer some questions about machine learning. There were totally 3 turns. Each turn consisted of one question about algorithms and data structures.
Virtual Interview with live LeetCode Medium/Hard problems. Test fundamentals of ML, such as: * Bias-variance tradeoff * Deep decision tree vs. Random Forest classifier * Precision vs. Recall and what to prioritize in different scenarios
The interviewer first asked about details of past experiences on my resume (professional and research). Then, there were some questions about machine learning theories, recommendation algorithms, and NLP knowledge. At last, I was given an algorithm
The interview was taken on Sunday. Describe projects done on the resume and answer some questions about machine learning. There were totally 3 turns. Each turn consisted of one question about algorithms and data structures.
Virtual Interview with live LeetCode Medium/Hard problems. Test fundamentals of ML, such as: * Bias-variance tradeoff * Deep decision tree vs. Random Forest classifier * Precision vs. Recall and what to prioritize in different scenarios