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

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