A-Curated-List-of-ML-System-Design-Case-Studies README

The project's README from github.com/Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies. As one markdown file: README.md.

ML System Design Case Studies Repository

Description

Welcome to the ML System Design Case Studies Repository! This repository is a comprehensive collection of 300+ case studies from over 80 leading companies, showcasing practical applications and insights into machine learning (ML) system design. Companies like Netflix, Airbnb, and Doordash have shared their experiences, providing a valuable resource for anyone interested in learning how ML is used to improve products and processes.

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🌟 Upcoming Features

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Features

Why This Resource is Valuable

How to Use

Enjoy exploring the wealth of knowledge in these case studies and enhance your understanding of machine learning system design!

Real-world ML systems

Index Company Industry Description (< 5 words) Title Year
1 Stripe Fintech and banking Prevent fraudelent transactions How we built it: Stripe Radar 2023
2 Walmart E-commerce and retail Recommend complementary items Personalized ‘Complete the Look’ model 2023
3 Uber Delivery and mobility Forecast demand for airport rides Demand and ETR Forecasting at Airports 2023
4 Pinterest Social platforms Prevent advertiser churn An ML based approach to proactive advertiser churn prevention 2023
5 Stitch Fix E-commerce and retail Generate ad headlines A New Era of Creativity: Expert-in-the-loop Generative AI at Stitch Fix 2023
6 Swiggy Delivery and mobility Recommend items to order Building a mind reader at Swiggy using Data Science 2023
7 Microsoft Tech Diagnose production incidents with LLM Large-language models for automatic cloud incident management 2023
8 Foodpanda Delivery and mobility Optimize menu sorting order Menu Ranking 2023
9 Zillow E-commerce and retail Estimate the house market value Building the Neural Zestimate 2023
10 Airbnb Travel,E-commerce and retail Identify user interests Prioritizing Home Attributes Based on Guest Interest 2023
11 GitHub Tech Generate code and code suggestions Inside GitHub: Working with the LLMs behind GitHub Copilot 2023
12 DoorDash Delivery and mobility Optimize courier waiting time Lifecycle of a Successful ML Product: Reducing Dasher Wait Times 2023
13 Linkedin Social platforms Select best payment gateway Improving the customer’s experience via ML-driven payment routing 2023
14 Wayfair E-commerce and retail Predict delivery times Delivery-Date Prediction 2023
15 Linkedin Social platforms Detect viral spam Viral spam content detection at LinkedIn 2023
16 Lyft Delivery and mobility Recommend content in app The Recommendation System at Lyft 2023
17 Honeycomb Tech Generate queries with natural language All the Hard Stuff Nobody Talks About when Building Products with LLMs 2023
18 Zalando E-commerce and retail Forecast demand in fashion e-commerce Deep Learning based Forecasting: a case study from the online fashion industry 2023
19 Etsy E-commerce and retail Recommend relevant marketplace items How We Built a Multi-Task Canonical Ranker for Recommendations at Etsy 2023
20 Yelp Social platforms Organize e-commerce content using embeddings Yelp Content As Embeddings 2023
21 Monzo Fintech and banking Select relevant marketing messages Optimising marketing messages for Monzo users 2023
22 Monzo Fintech and banking Detect patterns in text data Using topic modelling to understand customer saving goals 2023
23 Wayfair E-commerce and retail Predict new product’s sales potential How Wayfair uses “Predicted Winners” Models to Accelerate Success for New Products 2023
24 Airbnb Travel,E-commerce and retail Personalized listing search Learning To Rank Diversely 2023
25 Twitter Social platforms Recommend interesting tweets Twitter's Recommendation Algorithm 2023
26 DoorDash Delivery and mobility Predict if a store is open How DoorDash Upgraded a Heuristic with ML to Save Thousands of Canceled Orders 2023
27 Wayfair E-commerce and retail Identify business customers Hamlet: Wayfair's ML Approach to Identifying Business Shopper 2023
28 Wayfair E-commerce and retail Detect fraud with embeddings Introducing Melange: A Customer Journey Embedding System for Improving Fraud and Policy Abuse Detection 2023
29 Airbnb Travel,E-commerce and retail Improve travel search experience Building Airbnb Categories with ML & Human in the Loop 2023
30 Spotify Media and streaming Automatically generate ad content How We Automated Content Marketing to Acquire Users at Scale 2023
31 Instacart E-commerce and retail Predict availability of food items How Instacart Modernized the Prediction of Real Time Availability for Hundreds of Millions of Items While Saving Costs 2023
32 Linkedin Social platforms Personalize the homepage feed Enhancing homepage feed relevance by harnessing the power of large corpus sparse ID embeddings 2023
33 Doordash Delivery and mobility Forecast order volumes and deliveries How DoorDash Built an Ensemble Learning Model for Time Series Forecasting 2023
34 Expedia Travel,E-commerce and retail Forecast flight prices Using Synthetic Search Data for Flights Price Forecasting 2023
35 Nextdoor Social platforms Generate engaging email subject lines Let AI Entertain You: Increasing User Engagement with Generative AI and Rejection Sampling 2023
36 Cr

A-Curated-List-of-ML-System-Design-Case-Studies (Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies)

Searching Database…

11K ·GitHub
A-Curated-List-of-ML-System-Design-Case-Studies
这是什么？一个精心整理的合集，收录了来自 Netflix、Airbnb、Stripe、Doordash 等 80 多家公司的 300 多个真实机器学习系统设计案例研究，按行业和机器学习用例分类。
这是一个工具，还是只是一个链接列表？它是一个精心整理的索引：一个链接到各公司原始博客文章和论文的 markdown 表格，本身并不是工具或代码库。
这个列表是怎么组织的，我怎么找到需要的内容？条目以表格形式列出，包含公司、行业、简短描述、文章标题和年份等列，你可以按行业或用例浏览。
使用这个列表需要准备什么吗？不需要，它只是一个 README 表格，里面的链接指向外部博客文章和论文；你只需要一个浏览器就能逐一点开查看。
这些条目经过筛选，还是只是链接的堆砌？每个案例研究都来自详细介绍实际构建并在生产环境中使用的机器学习系统的博客、论文或文章，而不是泛泛的教程。
涵盖了哪些类型的机器学习用例？列表涵盖计算机视觉、自然语言处理、推荐系统、搜索与排序、欺诈检测、预测，以及金融、医疗健康、电子商务等行业中许多其他生产级机器学习应用。
比起自己去搜索各公司的工程博客，用这个有什么好处？它把 80 多家公司的案例研究汇总在一处，并附上行业标签和简短描述，省去了你逐个寻找博客的功夫。
它还在继续更新新的案例研究吗？README 中说明该仓库是一个不断扩充的合集，并欢迎贡献者推荐新的案例研究，这表明它会持续更新。
README 中提到的 HorizonX.live 是什么？它是 README 中推广的一个独立研究平台，用于搜索机器学习论文、整理库以及获取论文摘要；它本身并不属于这个案例研究列表。
What are similar projects?GNNPapers, 500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code, machine-learning-interview, ML-NLP, system-design-interview, AI-Papers-of-the-Week, professional-programming, Machine-Learning-Tutorials
Which topics is it in?recommendation-system, ml, system-design, interview, architecture, nlp, data-science, computer-vision, learning-resources, awesome-list, list, curated-list
Creator
Engineer1999
Size
0.2 MB
Stars
11K
Updated
CommitAug 05
Age
2y
Commits · 90 Days