Library/ml-design-patterns
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GoogleCloudPlatform/ml-design-patterns

ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

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GoogleCloudPlatform

GoogleCloudPlatform

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Mar 17, 2020

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README Summary

This repository contains source code and examples accompanying the O'Reilly book 'Machine Learning Design Patterns'. It provides practical implementations of common ML design patterns using Google Cloud Platform services and tools. The code is primarily organized in Jupyter notebooks demonstrating various machine learning workflows and best practices.

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Machine Learning Design PatternsML System ArchitectureData Preprocessing PatternsModel Training PatternsModel Serving PatternsMLOps PracticesFeature EngineeringData Pipeline DesignML Production SystemsCloud ML Deployment

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Machine Learning Design PatternsML System ArchitectureData Preprocessing PatternsModel Training PatternsModel Serving PatternsMLOps PracticesFeature EngineeringData Pipeline DesignML Production SystemsCloud ML DeploymentProduction ML SystemsOn-premiseML Best Practices TrainingProduction ML Pipeline DevelopmentML System DesignTabularMLOps ImplementationImageML EngineeringData Science EducationSelf-hostedScalable ML ArchitectureCloud APIMLOpsML Architecture PlanningTextJupyter Notebook

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Updated 4 years ago

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production
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high
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production

Categories

AI AgentsPrimaryMLOps & InfrastructureDev Tools & AutomationInference & ServingML Platform & InfrastructureData Science & AnalyticsOther AI / MLModel Training

PM Skills

Scale & ReliabilityDeveloper Platform

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Jupyter Notebook100.0%

Timeline

Project created
Mar 17, 2020
Forked
Mar 13, 2026
Your last push
4 years ago
Upstream last push
4 years ago
Tracked since
Apr 28, 2021

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