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Oreilly - Distributed Machine Learning Patterns, Video Edition

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



If You Need More Stuff, kindly Visit and Support Us -->> https://FreeCourseWeb.com







Released 1/2024

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English | Duration: 6h 21m | Size: 942 MB



Practical patterns for scaling machine learning from your laptop to a distributed cluster.



Distributing machine learning systems allow developers to handle extremely large datasets across multiple clusters, take advantage of automation tools, and benefit from hardware accelerations. This book reveals best practice techniques and insider tips for tackling the challenges of scaling machine learning systems.



In Distributed Machine Learning Patterns you will learn how to



If You Need More Stuff, kindly Visit and Support Us -->> https://DevCourseWeb.com



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We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...



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File list
  • Oreilly - Distributed Machine Learning Patterns, Video Edition
  • ~Get Your Files Here !/001. Part 1. Basic concepts and background.mp4 2.4 MB
  • ~Get Your Files Here !/002. Chapter 1. Introduction to distributed machine learning systems.mp4 27.9 MB
  • ~Get Your Files Here !/003. Chapter 1. Distributed systems.mp4 7.2 MB
  • ~Get Your Files Here !/004. Chapter 1. Distributed machine learning systems.mp4 13.2 MB
  • ~Get Your Files Here !/005. Chapter 1. What we will learn in this book.mp4 7.6 MB
  • ~Get Your Files Here !/006. Chapter 1. Summary.mp4 2.1 MB
  • ~Get Your Files Here !/007. Part 2. Patterns of distributed machine learning systems.mp4 9.6 MB
  • ~Get Your Files Here !/008. Chapter 2. Data ingestion patterns.mp4 14.8 MB
  • ~Get Your Files Here !/009. Chapter 2. The Fashion-MNIST dataset.mp4 13.1 MB
  • ~Get Your Files Here !/010. Chapter 2. Batching pattern.mp4 29.3 MB
  • ~Get Your Files Here !/011. Chapter 2. Sharding pattern Splitting extremely large datasets among multiple machines.mp4 32.2 MB
  • ~Get Your Files Here !/012. Chapter 2. Caching pattern.mp4 25.1 MB
  • ~Get Your Files Here !/013. Chapter 2. Answers to exercises.mp4 1.2 MB
  • ~Get Your Files Here !/014. Chapter 2. Summary.mp4 2.2 MB
  • ~Get Your Files Here !/015. Chapter 3. Distributed training patterns.mp4 13 MB
  • ~Get Your Files Here !/016. Chapter 3. Parameter server pattern Tagging entities in 8 million YouTube videos.mp4 39.5 MB
  • ~Get Your Files Here !/017. Chapter 3. Collective communication pattern.mp4 36 MB
  • ~Get Your Files Here !/018. Chapter 3. Elasticity and fault-tolerance pattern.mp4 27.1 MB
  • ~Get Your Files Here !/019. Chapter 3. Answers to exercises.mp4 2.1 MB
  • ~Get Your Files Here !/020. Chapter 3. Summary.mp4 1.9 MB
  • ~Get Your Files Here !/021. Chapter 4. Model serving patterns.mp4 12.6 MB
  • ~Get Your Files Here !/022. Chapter 4. Replicated services pattern Handling the growing number of serving requests.mp4 28.5 MB
  • ~Get Your Files Here !/023. Chapter 4. Sharded services pattern.mp4 27.3 MB
  • ~Get Your Files Here !/024. Chapter 4. The event-driven processing pattern.mp4 50.5 MB
  • ~Get Your Files Here !/025. Chapter 4. Answers to exercises.mp4 1.8 MB
  • ~Get Your Files Here !/026. Chapter 4. Summary.mp4 2.7 MB
  • ~Get Your Files Here !/027. Chapter 5. Workflow patterns.mp4 18.8 MB
  • ~Get Your Files Here !/028. Chapter 5. Fan-in and fan-out patterns Composing complex machine learning workflows.mp4 34.1 MB
  • ~Get Your Files Here !/029. Chapter 5. Synchronous and asynchronous patterns Accelerating workflows with concurrency.mp4 25.4 MB
  • ~Get Your Files Here !/030. Chapter 5. Step memoization pattern Skipping redundant workloads via memoized steps.mp4 28.2 MB
  • ~Get Your Files Here !/031. Chapter 5. Answers to exercises.mp4 6.6 MB
  • ~Get Your Files Here !/032. Chapter 5. Summary.mp4 2 MB
  • ~Get Your Files Here !/033. Chapter 6. Operation patterns.mp4 18.1 MB
  • ~Get Your Files Here !/034. Chapter 6. Scheduling patterns Assigning resources effectively in a shared cluster.mp4 49.7 MB
  • ~Get Your Files Here !/035. Chapter 6. Metadata pattern Handle failures appropriately to minimize the negative effect on users.mp4 31.4 MB
  • ~Get Your Files Here !/036. Chapter 6. Answers to exercises.mp4 2.6 MB
  • ~Get Your Files Here !/037. Chapter 6. Summary.mp4 1.4 MB
  • ~Get Your Files Here !/038. Part 3. Building a distributed machine learning workflow.mp4 4.2 MB
  • ~Get Your Files Here !/039. Chapter 7. Project overview and system architecture.mp4 18.1 MB
  • ~Get Your Files Here !/040. Chapter 7. Data ingestion.mp4 20.7 MB
  • ~Get Your Files Here !/041. Chapter 7. Model training.mp4 13.8 MB
  • ~Get Your Files Here !/042. Chapter 7. Model serving.mp4 10.2 MB
  • ~Get Your Files Here !/043. Chapter 7. End-to-end workflow.mp4 20.3 MB
  • ~Get Your Files Here !/044. Chapter 7. Answers to exercises.mp4 965.4 KB
  • ~Get Your Files Here !/045. Chapter 7. Summary.mp4 2.1 MB
  • ~Get Your Files Here !/046. Chapter 8. Overview of relevant technologies.mp4 25.6 MB
  • ~Get Your Files Here !/047. Chapter 8. Kubernetes The distributed container orchestration system.mp4 18.5 MB
  • ~Get Your Files Here !/048. Chapter 8. Kubeflow Machine learning workloads on Kubernetes.mp4 24.3 MB
  • ~Get Your Files Here !/049. Chapter 8. Argo Workflows Container-native workflow engine.mp4 25.3 MB
  • ~Get Your Files Here !/050. Chapter 8. Answers to exercises.mp4 1.3 MB
  • ~Get Your Files Here !/051. Chapter 8. Summary.mp4 1.2 MB
  • ~Get Your Files Here !/052. Chapter 9. A complete implementation.mp4 24.3 MB
  • ~Get Your Files Here !/053. Chapter 9. Model training.mp4 34.7 MB
  • ~Get Your Files Here !/054. Chapter 9. Model serving.mp4 20.5 MB
  • ~Get Your Files Here !/055. Chapter 9. The end-to-end workflow.mp4 23.3 MB
  • ~Get Your Files Here !/056. Chapter 9. Summary.mp4 3.2 MB
  • ~Get Your Files Here !/Bonus Resources.txt 386 B

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