机器学习系统设计

一本关于机器学习系统设计与练习的小册子。不是《设计机器学习系统》一书的 repo。「A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"」

Github星跟蹤圖

Machine Learning Systems Design

Read this booklet here.

This booklet was my initial attempt to write about machine learning systems design back in 2019. My understanding of the topic has gone through significant iterations since then. My book Designing Machine Learning Systems (O'Reilly, June 2022) is much more comprehensive and up-to-date. The new book's repo contains the full table of contents, chapter summaries, and random thoughts on MLOps tooling.

This booklet covers four main steps of designing a machine learning system:

  1. Project setup
  2. Data pipeline
  3. Modeling: selecting, training, and debugging
  4. Serving: testing, deploying, and maintaining

It comes with links to practical resources that explain each aspect in more details. It also suggests case studies written by machine learning engineers at major tech companies who have deployed machine learning systems to solve real-world problems.

At the end, the booklet contains 27 open-ended machine learning systems design questions that might come up in machine learning interviews. The answers for these questions will be published in the book Machine Learning Interviews. You can look at and contribute to community answers to these questions on GitHub here. You can read more about the book and sign up for the book's mailing list here.

Contribute

This is work-in-progress so any type of contribution is very much appreciated. Here are a few ways you can contribute:

  1. Improve the text by fixing any lexical, grammatical, or technical error
  2. Add more relevant resources to each aspect of the machine learning project flow
  3. Add/edit questions
  4. Add/edit answers
  5. Other

This book was created using the wonderful magicbook package. For detailed instructions on how to use the package, see their GitHub repo. The package requires that you have node. If you're on Mac, you can install node using:

brew install node

Install magicbook with:

npm install magicbook

Clone this repository:

git clone https://github.com/chiphuyen/machine-learning-systems-design.git
cd machine-learning-systems-design

After you've made changes to the content in the content folder, you can build the booklet by the following steps:

magicbook build

You'll find the generated HTML and PDF files in the folder build.

Acknowledgment

I'd like to thank Ben Krause for being a great friend and helping me with this draft!

Citation

主要指標

概覽
名稱與所有者chiphuyen/machine-learning-systems-design
主編程語言HTML
編程語言CSS (語言數: 4)
平台
許可證
所有者活动
創建於2019-11-24 23:16:28
推送於2023-04-15 16:33:50
最后一次提交2022-06-22 14:53:50
發布數0
用户参与
星數9.4k
關注者數300
派生數1.5k
提交數9
已啟用問題?
問題數10
打開的問題數7
拉請求數2
打開的拉請求數3
關閉的拉請求數2
项目设置
已啟用Wiki?
已存檔?
是復刻?
已鎖定?
是鏡像?
是私有?