Machine Learning Interviews: Kickstart Your Machine Learning and Data Career


Machine Learning Interviews: Kickstart Your Machine Learning and Data Career
by 作者: Susan Shu Chang (Author)
Publisher Finelybook 出版社: O’Reilly Media
Edition 版本: 1st
Publication Date 出版日期: 2024-01-09
Language 语言: English
pages 页数: : 307 pages
ISBN-10 书号: 1098146549
ISBN-13 书号: 9781098146542


Book Description

As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But 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


Review

“A one-stop book for everything ML interviews related. This book will prove useful for those new to the field, and also for experienced ML practitioners and data scientists to cover the content in most ML interviews.”
– Prithvishankar Srinivasan, ML Engineer, Instacart (formerly at Twitter, Microsoft)
“The ‘Cracking the Coding Interview’ of machine learning. Whether you’re preparing for interviews or want to brush up on your machine learning knowledge, this book is for you.”
– Serena McDonnell, Lead Data Scientist (formerly at Shopify)
‘The breadth of topics covered by this book is astonishing. Whether you are seeking your first machine learning role or contemplating a switch, there is plenty of wisdom in this book to help you navigate the often-frustrating maze of contemporary interview processes.’
– Suhas Pai, ML Researcher & CTO, Hudson Labs Author of Designing Large Language Model Applications (O’Reilly)
“Machine Learning Interviews is the perfect guide to passing ML interviews. Machine Learning Interviews does a great job introducing the reader to the Machine Learning job market and all that’s expected of a modern Machine Learning Engineer.”
– Dominic Monn, CEO of MentorCruise


About the Author

Susan Shu Chang is a principal data scientist at Elastic (of Elasticsearch), with previous ML experience in fintech, telecommunications, and social platforms. Susan is an international speaker, with talks at six PyCons worldwide and keynotes at Data Day Texas, PyCon DE & PyData Berlin, and O’Reilly’s AI Superstream. She writes about machine learning career growth on her Substack newsletter. In her free time she leads a team of game developers under Quill Game Studios, with multiple games released on consoles and Steam.

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