Machine Learning System Design Interview

Book Synopsis: Machine learning system design interviews are the most difficult to tackle of all technical interview questions. This book provides a reliable strategy and knowledge base for approaching a broad range of ML system design questions. It provides a step-by-step framework for tackling an ML system design question. It includes many real-world examples to illustrate the systematic approach, with detailed steps you can follow.

This book is an essential resource for anyone interested in ML system design, whether they are beginners or experienced engineers. Meanwhile, if you need to prepare for an ML interview, this book is specifically written for you.

What’s inside?

• An insider’s take on what interviewers really look for and why.
• A 7-step framework for solving any ML system design interview question.
• 10 real ML system design interview questions with detailed solutions.
• 211 diagrams that visually explain how various systems work.

Table Of Contents

1. Chapter 1 Introduction and Overview
2. Chapter 2 Visual Search System
3. Chapter 3 Google Street View Blurring System
4. Chapter 4 YouTube Video Search
5. Chapter 5 Harmful Content Detection
6. Chapter 6 Video Recommendation System
7. Chapter 7 Event Recommendation System
8. Chapter 8 Ad Click Prediction on Social Platforms
9. Chapter 9 Similar Listings on Vacation Rental Platforms
10. Chapter 10 Personalized News Feed
11. Chapter 11 People You May Know