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Computer on Flow: Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications — Chip Huyen

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Duration12:55:20
Chapters20
LanguageEnglish
Now playing Chapter 1
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Chapters

20 tracks
  1. 1 Chapter 1 00:16:23
  2. 2 Chapter 2 00:54:44
  3. 3 Chapter 3 00:45:51
  4. 4 Chapter 4 00:34:28
  5. 5 Chapter 5 00:33:48
  6. 6 Chapter 6 00:40:57
  7. 7 Chapter 7 00:38:48
  8. 8 Chapter 8 00:58:36
  9. 9 Chapter 9 00:44:50
  10. 10 Chapter 10 00:43:38
  11. 11 Chapter 11 00:29:55
  12. 12 Chapter 12 00:31:26
  13. 13 Chapter 13 00:44:49
  14. 14 Chapter 14 00:45:48
  15. 15 Chapter 15 00:36:57
  16. 16 Chapter 16 00:32:40
  17. 17 Chapter 17 00:40:47
  18. 18 Chapter 18 00:43:51
  19. 19 Chapter 19 00:55:09
  20. 20 Chapter 20 00:01:55

Start anywhere in Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications by Chip Huyen. Filed under Computer. Speed and chapter jumps sit above the description.

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they’re data dependent, with data varying wildly from one use case to the next. In this audiobook, you’ll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.

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