[ FreeCourseWeb.com ] Oreilly - Distributed Machine Learning Patterns, Video Edition

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Files
  1. Get Bonus Downloads Here.url 183B
  2. ~Get Your Files Here !/001. Part 1. Basic concepts and background.mp4 2.40MB
  3. ~Get Your Files Here !/002. Chapter 1. Introduction to distributed machine learning systems.mp4 27.89MB
  4. ~Get Your Files Here !/003. Chapter 1. Distributed systems.mp4 7.24MB
  5. ~Get Your Files Here !/004. Chapter 1. Distributed machine learning systems.mp4 13.22MB
  6. ~Get Your Files Here !/005. Chapter 1. What we will learn in this book.mp4 7.56MB
  7. ~Get Your Files Here !/006. Chapter 1. Summary.mp4 2.08MB
  8. ~Get Your Files Here !/007. Part 2. Patterns of distributed machine learning systems.mp4 9.56MB
  9. ~Get Your Files Here !/008. Chapter 2. Data ingestion patterns.mp4 14.80MB
  10. ~Get Your Files Here !/009. Chapter 2. The Fashion-MNIST dataset.mp4 13.15MB
  11. ~Get Your Files Here !/010. Chapter 2. Batching pattern.mp4 29.32MB
  12. ~Get Your Files Here !/011. Chapter 2. Sharding pattern Splitting extremely large datasets among multiple machines.mp4 32.21MB
  13. ~Get Your Files Here !/012. Chapter 2. Caching pattern.mp4 25.12MB
  14. ~Get Your Files Here !/013. Chapter 2. Answers to exercises.mp4 1.16MB
  15. ~Get Your Files Here !/014. Chapter 2. Summary.mp4 2.23MB
  16. ~Get Your Files Here !/015. Chapter 3. Distributed training patterns.mp4 13.02MB
  17. ~Get Your Files Here !/016. Chapter 3. Parameter server pattern Tagging entities in 8 million YouTube videos.mp4 39.51MB
  18. ~Get Your Files Here !/017. Chapter 3. Collective communication pattern.mp4 36.00MB
  19. ~Get Your Files Here !/018. Chapter 3. Elasticity and fault-tolerance pattern.mp4 27.12MB
  20. ~Get Your Files Here !/019. Chapter 3. Answers to exercises.mp4 2.11MB
  21. ~Get Your Files Here !/020. Chapter 3. Summary.mp4 1.94MB
  22. ~Get Your Files Here !/021. Chapter 4. Model serving patterns.mp4 12.59MB
  23. ~Get Your Files Here !/022. Chapter 4. Replicated services pattern Handling the growing number of serving requests.mp4 28.48MB
  24. ~Get Your Files Here !/023. Chapter 4. Sharded services pattern.mp4 27.28MB
  25. ~Get Your Files Here !/024. Chapter 4. The event-driven processing pattern.mp4 50.45MB
  26. ~Get Your Files Here !/025. Chapter 4. Answers to exercises.mp4 1.78MB
  27. ~Get Your Files Here !/026. Chapter 4. Summary.mp4 2.65MB
  28. ~Get Your Files Here !/027. Chapter 5. Workflow patterns.mp4 18.76MB
  29. ~Get Your Files Here !/028. Chapter 5. Fan-in and fan-out patterns Composing complex machine learning workflows.mp4 34.13MB
  30. ~Get Your Files Here !/029. Chapter 5. Synchronous and asynchronous patterns Accelerating workflows with concurrency.mp4 25.38MB
  31. ~Get Your Files Here !/030. Chapter 5. Step memoization pattern Skipping redundant workloads via memoized steps.mp4 28.17MB
  32. ~Get Your Files Here !/031. Chapter 5. Answers to exercises.mp4 6.63MB
  33. ~Get Your Files Here !/032. Chapter 5. Summary.mp4 2.03MB
  34. ~Get Your Files Here !/033. Chapter 6. Operation patterns.mp4 18.13MB
  35. ~Get Your Files Here !/034. Chapter 6. Scheduling patterns Assigning resources effectively in a shared cluster.mp4 49.75MB
  36. ~Get Your Files Here !/035. Chapter 6. Metadata pattern Handle failures appropriately to minimize the negative effect on users.mp4 31.43MB
  37. ~Get Your Files Here !/036. Chapter 6. Answers to exercises.mp4 2.56MB
  38. ~Get Your Files Here !/037. Chapter 6. Summary.mp4 1.41MB
  39. ~Get Your Files Here !/038. Part 3. Building a distributed machine learning workflow.mp4 4.19MB
  40. ~Get Your Files Here !/039. Chapter 7. Project overview and system architecture.mp4 18.07MB
  41. ~Get Your Files Here !/040. Chapter 7. Data ingestion.mp4 20.70MB
  42. ~Get Your Files Here !/041. Chapter 7. Model training.mp4 13.83MB
  43. ~Get Your Files Here !/042. Chapter 7. Model serving.mp4 10.15MB
  44. ~Get Your Files Here !/043. Chapter 7. End-to-end workflow.mp4 20.32MB
  45. ~Get Your Files Here !/044. Chapter 7. Answers to exercises.mp4 965.37KB
  46. ~Get Your Files Here !/045. Chapter 7. Summary.mp4 2.09MB
  47. ~Get Your Files Here !/046. Chapter 8. Overview of relevant technologies.mp4 25.59MB
  48. ~Get Your Files Here !/047. Chapter 8. Kubernetes The distributed container orchestration system.mp4 18.53MB
  49. ~Get Your Files Here !/048. Chapter 8. Kubeflow Machine learning workloads on Kubernetes.mp4 24.27MB
  50. ~Get Your Files Here !/049. Chapter 8. Argo Workflows Container-native workflow engine.mp4 25.28MB
  51. ~Get Your Files Here !/050. Chapter 8. Answers to exercises.mp4 1.28MB
  52. ~Get Your Files Here !/051. Chapter 8. Summary.mp4 1.24MB
  53. ~Get Your Files Here !/052. Chapter 9. A complete implementation.mp4 24.33MB
  54. ~Get Your Files Here !/053. Chapter 9. Model training.mp4 34.72MB
  55. ~Get Your Files Here !/054. Chapter 9. Model serving.mp4 20.54MB
  56. ~Get Your Files Here !/055. Chapter 9. The end-to-end workflow.mp4 23.30MB
  57. ~Get Your Files Here !/056. Chapter 9. Summary.mp4 3.23MB
  58. ~Get Your Files Here !/Bonus Resources.txt 386B