Machine Learning Design Interview: Machine Learning System Design Interview

by Khang Pham

Read sample chapters and mlengineer.io.
This book providesEnd to end design of the most popular Machine Learning system at big tech companies.Most common Machine Learning Design interview questions at big tech companies (Facebook, Apple, Amazon, Google, Uber, LinkedIn)Who should read this book?Data scientist, software engineer or data engineer who have a background in Machine Learning but never work on Machine Learning at scale will find this book helpful.

247 pages, Kindle Edition

Published May 3, 2022

Reviews

[Minervas Owl · Rating 1 out of 5]

This book includes some helpful materials for people without tech-industry ML experience. But it is really just a hodgepodge of excerpts from engineering blogs, put together haphazardly without any context, explanations, and reference. The author doesn't even bother to change the first person perspective "we" into "they".

If you need to prepare for a ML design interview and don't have time to read the original paper / engineering blogs, take the educative.io course below instead. The course also needs to be organized better, but is still far superior to this book.
https://www.educative.io/courses/grok...

[Lucille Nguyen · Rating 2 out of 5]

Meh. Contains some comments about ML deployment and evaluation, but really just reads like a bunch of blog posts put together. And not terribly well-written or cohesive either.