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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications in Computer — the list

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications in Computer — the list

By Chip Huyen · narrated by Kathleen Li

Runtime12:55:20
Parts20
Spoken inEnglish
Now on the chart Chapter 1
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Track list

20 parts
  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

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications sits on the public chart at Bestselling Audiobooks — a full-length stream you can start immediately.

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 recording, 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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Computer Science

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