Machine Learning Interviews

This guide, authored by experienced data science leader Susan Shu Chang, provides practical insights into navigating the competitive machine learning interview process. Covering various ML roles and key topics such as coding, statistics, and behavioral questions, it helps candidates assess their skills, identify gaps, and prepare effectively. With her firsthand experience as both interviewer and interviewee, Chang shares valuable lessons to improve your chances of success in the rapidly evolving field of machine learning.