Chang S.S. Machine Learning Interviews: Kickstart Your Machine Learning and Data Career

O’Reilly Media, 2024 - 307 p. - ISBN: 1098146549.As tech products become more prevalent today, the demand for machine learning professionals continues to grow. However, the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. 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 positions.
Assess your interests and skills before deciding which ML role(s) to pursue.
Evaluate your current skills and close any gaps that may prevent you from succeeding in the interview process.
Acquire the skill set necessary for each machine learning role.
Ace ML interview topics, including coding assessments, statistics and machine learning theory, and behavioral questions.
Prepare for interviews in statistics and machine learning theory by studying common interview questions.Who This Book Is For.The following outlines scenarios that you might find relatable; this is the audience I’ve written this book for:You are a recent graduate who is eager to become an ML/AI practitioner in the industry.
You are a software engineer, data analyst, or other tech/data professional who is transitioning into a role that focuses on ML day-to-day.
You are a professional with experience in another field who is interested in transitioning into the ML field.
You are an experienced data scientist or ML practitioner who is returning to the interviewing fray and aiming for a different role or an increased title and responsibility, and you would like a comprehensive refresher of ML material.What This Book Is Not.This book is not a statistics or ML textbook.
This book is not a coding textbook or tutorial book.
While there are sample interview questions, this book is not a question bank. Code snippets will be brief and concise since they become outdated quickly.True PDF