E-Books →Machine Learning Interviews Kickstart Your Machine Learning and Data Career

Having served as principal data scientist in several companies, Chang has considerable experience as both ML interviewer and interviewee. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way. You'll quickly understand how to successfully navigate your way through typical ML interviews.
This guide shows you how to:Explore various machine learning roles, including ML engineer, applied scientist, data scientist, and other positionsAssess your interests and skills before deciding which ML role(s) to pursueEvaluate your current skills and close any gaps that may prevent you from succeeding in the interview processAcquire the skill set necessary for each machine learning roleAce ML interview topics, including coding assessments, statistics and machine learning theory, and behavioral questionsPrepare for interviews in statistics and machine learning theory by studying common interview questions