download скачать Free download скачать : Distributed Machine Learning Patterns, Video Edition
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:941.82 MB
Files Included :
001 Part 1 Basic concepts and background.mp4 (2.4 MB)
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002 Chapter 1 Introduction to distributed machine learning systems.mp4 (27.89 MB)
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003 Chapter 1 Distributed systems.mp4 (7.24 MB)
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004 Chapter 1 Distributed machine learning systems.mp4 (13.22 MB)
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005 Chapter 1 What we will learn in this book.mp4 (7.56 MB)
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006 Chapter 1 Summary.mp4 (2.08 MB)
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007 Part 2 Patterns of distributed machine learning systems.mp4 (9.56 MB)
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008 Chapter 2 Data ingestion patterns.mp4 (14.8 MB)
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009 Chapter 2 The Fashion-MNIST dataset.mp4 (13.15 MB)
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010 Chapter 2 Batching pattern.mp4 (29.32 MB)
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011 Chapter 2 Sharding pattern Splitting extremely large datasets among multiple machines.mp4 (32.21 MB)
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012 Chapter 2 Caching pattern.mp4 (25.12 MB)
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013 Chapter 2 Answers to exercises.mp4 (1.16 MB)
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014 Chapter 2 Summary.mp4 (2.23 MB)
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015 Chapter 3 Distributed training patterns.mp4 (13.02 MB)
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016 Chapter 3 Parameter server pattern Tagging entities in 8 million YouTube videos.mp4 (39.51 MB)
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017 Chapter 3 Collective communication pattern.mp4 (36 MB)
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018 Chapter 3 Elasticity and fault-tolerance pattern.mp4 (27.12 MB)
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019 Chapter 3 Answers to exercises.mp4 (2.11 MB)
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020 Chapter 3 Summary.mp4 (1.94 MB)
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021 Chapter 4 Model serving patterns.mp4 (12.59 MB)
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022 Chapter 4 Replicated services pattern Handling the growing number of serving requests.mp4 (28.48 MB)
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023 Chapter 4 Sharded services pattern.mp4 (27.28 MB)
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024 Chapter 4 The event-driven processing pattern.mp4 (50.45 MB)
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025 Chapter 4 Answers to exercises.mp4 (1.78 MB)
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026 Chapter 4 Summary.mp4 (2.65 MB)
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027 Chapter 5 Workflow patterns.mp4 (18.76 MB)
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028 Chapter 5 Fan-in and fan-out patterns Composing complex machine learning workflows.mp4 (34.13 MB)
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029 Chapter 5 Synchronous and asynchronous patterns Accelerating workflows with concurrency.mp4 (25.38 MB)
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030 Chapter 5 Step memoization pattern Skipping redundant workloads via memoized steps.mp4 (28.17 MB)
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031 Chapter 5 Answers to exercises.mp4 (6.63 MB)
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032 Chapter 5 Summary.mp4 (2.03 MB)
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033 Chapter 6 Operation patterns.mp4 (18.13 MB)
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034 Chapter 6 Scheduling patterns Assigning resources effectively in a shared cluster.mp4 (49.75 MB)
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035 Chapter 6 Metadata pattern Handle failures appropriately to minimize the negative effect on users.mp4 (31.43 MB)
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036 Chapter 6 Answers to exercises.mp4 (2.56 MB)
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037 Chapter 6 Summary.mp4 (1.41 MB)
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038 Part 3 Building a distributed machine learning workflow.mp4 (4.19 MB)
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039 Chapter 7 Project overview and system architecture.mp4 (18.07 MB)
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040 Chapter 7 Data ingestion.mp4 (20.7 MB)
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041 Chapter 7 Model training.mp4 (13.83 MB)
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042 Chapter 7 Model serving.mp4 (10.15 MB)
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043 Chapter 7 End-to-end workflow.mp4 (20.32 MB)
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044 Chapter 7 Answers to exercises.mp4 (965.37 KB)
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045 Chapter 7 Summary.mp4 (2.09 MB)
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046 Chapter 8 Overview of relevant technologies.mp4 (25.59 MB)
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047 Chapter 8 Kubernetes The distributed container orchestration system.mp4 (18.53 MB)
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048 Chapter 8 Kubeflow Machine learning workloads on Kubernetes.mp4 (24.27 MB)
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049 Chapter 8 Argo Workflows Container-native workflow engine.mp4 (25.28 MB)
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050 Chapter 8 Answers to exercises.mp4 (1.28 MB)
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051 Chapter 8 Summary.mp4 (1.24 MB)
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052 Chapter 9 A complete implementation.mp4 (24.33 MB)
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053 Chapter 9 Model training.mp4 (34.72 MB)
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054 Chapter 9 Model serving.mp4 (20.54 MB)
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055 Chapter 9 The end-to-end workflow.mp4 (23.3 MB)
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056 Chapter 9 Summary.mp4 (3.23 MB)
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https://rapidgator.net/file/e27c6fea37ca0c95ba500dbe95e99dfe/Distributed_Machine_Learning_Patterns_Video_Edition.zip
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