, 7 tweets, 2 min read
To learn how to design machine learning systems, I find it really helpful to read case studies to see how great teams deal with different deployment requirements and constraints. Here are some of my favorite case studies.
Topics covered: lifetime value, ML project workflow, feature engineering, model selection, prototyping, moving prototypes to production. It's completed with lessons learned and looking ahead!

medium.com/airbnb-enginee…
Netflix streams to over 117M members worldwide, half of those living outside the US. The company uses machine learning to predict the network quality, detect device anomaly, handle predictive caching.
medium.com/netflix-techbl…
This article explores the tradeoff between complexity and interpretability, performance and ease for production, for the classic task of fraud detection. (4/n)
eng.lyft.com/from-shallow-t…
Instacart uses machine learning to solve the task of path optimization. The article explains the entire process of system design, from framing the problem, collecting data, algorithm & metric selection, with visualization thrown in. (5/n)
tech.instacart.com/space-time-and…
Fashion Taste API attempted to qualify people's fashion taste using machine learning! (6/n) medium.com/hackernoon/how…
This article walks you step by step through a canonical example of the ranking and recommendation problem.

Four main steps: system design, personalization, online scoring, and business aspect (7/n)

medium.com/airbnb-enginee…
Missing some Tweet in this thread? You can try to force a refresh.

Enjoying this thread?

Keep Current with Chip Huyen

Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

Twitter may remove this content at anytime, convert it as a PDF, save and print for later use!

Try unrolling a thread yourself!

how to unroll video

1) Follow Thread Reader App on Twitter so you can easily mention us!

2) Go to a Twitter thread (series of Tweets by the same owner) and mention us with a keyword "unroll" @threadreaderapp unroll

You can practice here first or read more on our help page!

Follow Us on Twitter!

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just three indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3.00/month or $30.00/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!