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ML Lifecycle & Architecture

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Putting together my understanding of machine learning lifecycle & architecture

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ML Lifecycle & Architecture

  1. 1. ACI Data Source Prepare Data Build & Train Deploy ML DevOps & Productionisation Data Movement Raw Data Lake LifecyleArchitectureTechnologies Transform Data Cleansing & Transformation Optimized Data Lake & Clean Data Stores Build & Train Track & Experiment ML Model Containerisation Dev/Test Deploy Prod Deploy Deploy ML DevOps (CI/CD) AI BI Data Layer Databricks Runtime AML VMs Data Lake Analytics Azure ML SDK DBFSData Lake Platform Databricks Workspace AML Workspace Extract Extract Extract Load Use Track Choose Register SDK Compute Machine Learning Lifecycle & Architecture created by Ryan Chen https://www.linkedin.com/in/ryan-chen-71a89054/

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