We talked about:

Arseny's background
Working on machine learning in startups
What is Machine Learning System Design?
Constraints and requirements
Known unknowns vs unknown unknowns (Design stage)
Writing a design document
Technical problems vs product-oriented problems
The solution part of the Design Document
What motivated Arseny to write a book on ML System Design
Examples of a Design Document in the book
The types of readers for ML System Design
Working with the co-author
Reacting to constraints and feedback when writing a book
Arseny's favorite chapter of the book
Other resources where you can learn about ML System Design
Twitter Giveaway


Links:

Book: https://www.manning.com/books/machine-learning-system-design?utm_source=AGMLBookcamp&utm_medium=affiliate&utm_campaign=book_babushkin_machine_4_25_23&utm_content=twitter
Discount: poddatatalks21 (35% off)


Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp
Join DataTalks.Club: https://datatalks.club/slack.html
Our events: https://datatalks.club/events.html