
Distributed Machine Learning Patterns (eBook, ePUB)
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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: Apply distributed systems patterns to build scalable and reliable machine learning projects Build ML pipelines with data inges...
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:
- Apply distributed systems patterns to build scalable and reliable machine learning projects
- Build ML pipelines with data ingestion, distributed training, model serving, and more
- Automate ML tasks with Kubernetes, TensorFlow, Kubeflow, and Argo Workflows
- Make trade-offs between different patterns and approaches
- Manage and monitor machine learning workloads at scale
- Data ingestion, distributed training, model serving, and more
- Automating Kubernetes and TensorFlow with Kubeflow and Argo Workflows
- Manage and monitor workloads at scale
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