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

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FreeCourseWeb com Oreilly Distributed Machine Learning Patterns Video Edition

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File Name

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Get Bonus Downloads Here.url

183B

~Get Your Files Here !/001. Part 1. Basic concepts and background.mp4

2.4MB

~Get Your Files Here !/002. Chapter 1. Introduction to distributed machine learning systems.mp4

27.89MB

~Get Your Files Here !/003. Chapter 1. Distributed systems.mp4

7.24MB

~Get Your Files Here !/004. Chapter 1. Distributed machine learning systems.mp4

13.22MB

~Get Your Files Here !/005. Chapter 1. What we will learn in this book.mp4

7.56MB

~Get Your Files Here !/006. Chapter 1. Summary.mp4

2.08MB

~Get Your Files Here !/007. Part 2. Patterns of distributed machine learning systems.mp4

9.56MB

~Get Your Files Here !/008. Chapter 2. Data ingestion patterns.mp4

14.8MB

~Get Your Files Here !/009. Chapter 2. The Fashion-MNIST dataset.mp4

13.15MB

~Get Your Files Here !/010. Chapter 2. Batching pattern.mp4

29.32MB

~Get Your Files Here !/011. Chapter 2. Sharding pattern Splitting extremely large datasets among multiple machines.mp4

32.21MB

~Get Your Files Here !/012. Chapter 2. Caching pattern.mp4

25.12MB

~Get Your Files Here !/013. Chapter 2. Answers to exercises.mp4

1.16MB

~Get Your Files Here !/014. Chapter 2. Summary.mp4

2.23MB

~Get Your Files Here !/015. Chapter 3. Distributed training patterns.mp4

13.02MB

~Get Your Files Here !/016. Chapter 3. Parameter server pattern Tagging entities in 8 million YouTube videos.mp4

39.51MB

~Get Your Files Here !/017. Chapter 3. Collective communication pattern.mp4

36MB

~Get Your Files Here !/018. Chapter 3. Elasticity and fault-tolerance pattern.mp4

27.12MB

~Get Your Files Here !/019. Chapter 3. Answers to exercises.mp4

2.11MB

~Get Your Files Here !/020. Chapter 3. Summary.mp4

1.94MB

~Get Your Files Here !/021. Chapter 4. Model serving patterns.mp4

12.59MB

~Get Your Files Here !/022. Chapter 4. Replicated services pattern Handling the growing number of serving requests.mp4

28.48MB

~Get Your Files Here !/023. Chapter 4. Sharded services pattern.mp4

27.28MB

~Get Your Files Here !/024. Chapter 4. The event-driven processing pattern.mp4

50.45MB

~Get Your Files Here !/025. Chapter 4. Answers to exercises.mp4

1.78MB

~Get Your Files Here !/026. Chapter 4. Summary.mp4

2.65MB

~Get Your Files Here !/027. Chapter 5. Workflow patterns.mp4

18.76MB

~Get Your Files Here !/028. Chapter 5. Fan-in and fan-out patterns Composing complex machine learning workflows.mp4

34.13MB

~Get Your Files Here !/029. Chapter 5. Synchronous and asynchronous patterns Accelerating workflows with concurrency.mp4

25.38MB

~Get Your Files Here !/030. Chapter 5. Step memoization pattern Skipping redundant workloads via memoized steps.mp4

28.17MB

~Get Your Files Here !/031. Chapter 5. Answers to exercises.mp4

6.63MB

~Get Your Files Here !/032. Chapter 5. Summary.mp4

2.03MB

~Get Your Files Here !/033. Chapter 6. Operation patterns.mp4

18.13MB

~Get Your Files Here !/034. Chapter 6. Scheduling patterns Assigning resources effectively in a shared cluster.mp4

49.75MB

~Get Your Files Here !/035. Chapter 6. Metadata pattern Handle failures appropriately to minimize the negative effect on users.mp4

31.43MB

~Get Your Files Here !/036. Chapter 6. Answers to exercises.mp4

2.56MB

~Get Your Files Here !/037. Chapter 6. Summary.mp4

1.41MB

~Get Your Files Here !/038. Part 3. Building a distributed machine learning workflow.mp4

4.19MB

~Get Your Files Here !/039. Chapter 7. Project overview and system architecture.mp4

18.07MB

~Get Your Files Here !/040. Chapter 7. Data ingestion.mp4

20.7MB

~Get Your Files Here !/041. Chapter 7. Model training.mp4

13.83MB

~Get Your Files Here !/042. Chapter 7. Model serving.mp4

10.15MB

~Get Your Files Here !/043. Chapter 7. End-to-end workflow.mp4

20.32MB

~Get Your Files Here !/044. Chapter 7. Answers to exercises.mp4

965.37KB

~Get Your Files Here !/045. Chapter 7. Summary.mp4

2.09MB

~Get Your Files Here !/046. Chapter 8. Overview of relevant technologies.mp4

25.59MB

~Get Your Files Here !/047. Chapter 8. Kubernetes The distributed container orchestration system.mp4

18.53MB

~Get Your Files Here !/048. Chapter 8. Kubeflow Machine learning workloads on Kubernetes.mp4

24.27MB

~Get Your Files Here !/049. Chapter 8. Argo Workflows Container-native workflow engine.mp4

25.28MB

~Get Your Files Here !/050. Chapter 8. Answers to exercises.mp4

1.28MB

~Get Your Files Here !/051. Chapter 8. Summary.mp4

1.24MB

~Get Your Files Here !/052. Chapter 9. A complete implementation.mp4

24.33MB

~Get Your Files Here !/053. Chapter 9. Model training.mp4

34.72MB

~Get Your Files Here !/054. Chapter 9. Model serving.mp4

20.54MB

~Get Your Files Here !/055. Chapter 9. The end-to-end workflow.mp4

23.3MB

~Get Your Files Here !/056. Chapter 9. Summary.mp4

3.23MB

~Get Your Files Here !/Bonus Resources.txt

386B

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

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