Distributed Machine Learning Patterns - Yuan Tang

Practical Patterns For Scaling Machine Learning From Your Laptop To A Distributed Cluster. Innbsp; Distributed Machine Learning Patterns You Will Learn How To: Apply Distributed Systems Patterns To Build Scalable And Reliable Machine Learning Projects Construct Machine Learning Pipelines With Data Ingestion, Distributed Training, Model Serving, And More Automate Machine Learning Tasks With Kubernetes, Tensorflow, Kubeflow, And Argo Workflows Make Trade Offs Between Different Patterns And Approaches Manage And Monitor Machine Learning Workloads At Scale Scaling Up Models From Standalone Devices To Large Distributed Clusters Is One Of The Biggest Challenges Faced By Modern Machine Learning Practitioners. Distributed Machine Learning Patterns Teaches You How To Scale Machine Learning Models From Your Laptop To Large Distributed Clusters.