Machine Learning System Design Interview 239864
Код товару: 239864Паперова книга
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ISBN9781736049129
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Бренд
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Автор
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Рік2023
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МоваАнглійська
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ІлюстраціїЧорно-білі, Схеми
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ЖанрДовідкова література, Глибоке навчання, Штучний інтелект
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.
About the authors
Alex Xu is an experienced software engineer and entrepreneur. Previously, he worked at Twitter, Apple and Zynga. He can be found online at linkedin (https://www.linkedin.com/in/alex-xu-a8131b11/) and twitter (@alexxubyte)
Ali Aminian is an author and a Staff ML engineer with +10 years of expertise working in tech companies (Adobe, Ex-Google) building large-scale and distributed ML systems. He can be found online on LinkedIn: https://www.linkedin.com/in/aliiaminian
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Характеристики
- Бренд
- Вага, г490
- Автор
- КатегоріяКомп'ютерна література
- Рік2023
- Сторінок294
- Формат180х255 мм
- ОбкладинкаМ'яка
- Тип паперуОфсетний
- МоваАнглійська
- ІлюстраціїЧорно-біліСхеми
- ЖанрДовідкова літератураГлибоке навчанняШтучний інтелект
Від видавця
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.
About the authors
Alex Xu is an experienced software engineer and entrepreneur. Previously, he worked at Twitter, Apple and Zynga. He can be found online at linkedin (https://www.linkedin.com/in/alex-xu-a8131b11/) and twitter (@alexxubyte)
Ali Aminian is an author and a Staff ML engineer with +10 years of expertise working in tech companies (Adobe, Ex-Google) building large-scale and distributed ML systems. He can be found online on LinkedIn: https://www.linkedin.com/in/aliiaminian
Зміст
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
Machine Learning System Design Interview
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