Machine Learning Interviews
Kickstart your machine learning and data career
“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.”
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Who this book is for
I wrote this book to help you land your target ML job:
- Recent graduates eager to become an ML practitioner in industry.
- Software engineers ready to make machine learning your day-to-day work.
- Career switchers experienced in another field, transitioning into an ML-focused role.
- Experienced practitioners returning to interviewing or going up a level, needing a refresher of ML material.
What's inside
- ML roles and the interview process
- ML job application and resume
- Technical interview: ML algorithms
- Technical interview: model training and evaluation
- Technical interview: coding
- Technical interview: deployment and end-to-end ML
- Behavioral interviews
- Your interview roadmap
- Post-interview and follow-up
Praise for Machine Learning Interviews
“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.”
“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.”
“Machine Learning Interviews is the perfect guide to passing ML interviews. [The book] does a great job introducing the reader to the Machine Learning job market and all that's expected of a modern Machine Learning Engineer.”
“I just read the first available chapters [...] I graduate this May and have just started the application process, running to tailor my resume now based on your tips.”
“Incredible job on this forthcoming publication after reading the early release chapters. Fantastic blend of explainability and technical depth.”
- Early release readers
About the author
Susan Shu Chang is a Principal Data Scientist at Elastic, the company behind Elasticsearch, and has shipped ML in fintech, telecom, social platforms, and search. She has sat on both sides of the ML interview loop, screening resumes and interviewing candidates from intern to staff level. She has taught thousands of job seekers in her O'Reilly courses, and this book distills those lessons. She has spoken at six PyCons worldwide and keynoted Data Day Texas, PyCon DE & PyData Berlin, and O'Reilly's AI Superstream.
Follow: LinkedIn · Substack · susanshu.com
Ready to kickstart your ML and data career?
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Free bonus content for ML interview readers
On Substack, I share new observations on the ML/AI job market, plus material that didn't make it into the book.