Machine Learning System Design Interview
Aminian, Ali; Xu, Alex
ISBN 10: 1736049127 ISBN 13: 9781736049129
Published by ByeByteGo, 2023
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About this Item
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May have some shelf-wear due to normal use. Your purchase funds free job training and education in the greater Seattle area. Thank you for supporting Goodwills nonprofit mission! Seller Inventory # 0KVOTW00D25W_ns
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
Chapter 1 Introduction and Overview
Chapter 2 Visual Search System
Chapter 3 Google Street View Blurring System
Chapter 4 YouTube Video Search
Chapter 5 Harmful Content Detection
Chapter 6 Video Recommendation System
Chapter 7 Event Recommendation System
Chapter 8 Ad Click Prediction on Social Platforms
Chapter 9 Similar Listings on Vacation Rental Platforms
Chapter 10 Personalized News Feed
Chapter 11 People You May Know
"About this title" may belong to another edition of this title.
Bibliographic Details
Title: Machine Learning System Design Interview
Publisher: ByeByteGo
Publication Date: 2023
Binding: Soft cover
Condition: Good
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Machine Learning System Design Interview
Published by
ByeByteGo, 2023
ISBN 10: 1736049127
ISBN 13: 9781736049129
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