f69dc311a936 // 3.77 TiB free of 3.98 TiB

c File Name Size Date
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-001. Opening Credits.mp34323602023-08-23 16:54:50
-002. Dedication and Contributors.mp326254162023-08-23 16:54:51
-003. Preface.mp393605792023-08-23 16:54:53
-004. Chapter 1 Understanding the Infrastructure and Tools for Building AI Products.mp3719511622023-08-23 16:55:00
-005. Chapter 2 Model Development and Maintenance for AI Products.mp3590236482023-08-23 16:55:05
-006. Chapter 3 Machine Learning and Deep Learning Deep Dive.mp3659657232023-08-23 16:55:12
-007. Chapter 4 Commercializing AI Products.mp3430178572023-08-23 16:55:16
-008. Chapter 5 AI Transformation and Its Impact on Product Management.mp3497537412023-08-23 16:55:22
-009. Chapter 6 Understanding the AI-Native Product.mp3557904972023-08-23 16:55:27
-010. Chapter 7 Productizing the ML Service.mp3593997602023-08-23 16:55:33
-011. Chapter 8 Customization for Verticals, Customers, and Peer Groups.mp3593283452023-08-23 16:55:45
-012. Chapter 9 Macro and Micro AI for Your Product.mp3653720032023-08-23 16:55:43
-013. Chapter 10 Benchmarking Performance, Growth Hacking, and Cost.mp3677261822023-08-23 16:55:54
-014. Chapter 11 The Rising Tide of AI.mp3491355172023-08-23 16:55:54
-015. Chapter 12 Trends and Insights across Industry.mp3517141362023-08-23 16:56:02
-016. Chapter 13 Evolving Products into AI Products.mp3738513502023-08-23 16:56:05
-017. Closing Credits.mp35495982023-08-23 16:56:03
-cover.jpg535912023-08-23 16:55:28

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