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harvard-edge/cs249r_book

cs249r_book

Introduction to Machine Learning Systems

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harvard-edge

harvard-edge

harvard-edge • individual

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Sep 6, 2023

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README Summary

This is the source repository for the CS249r course book 'Introduction to Machine Learning Systems' from Harvard Edge. The book provides comprehensive coverage of machine learning systems including embedded AI, TinyML, and edge computing concepts. It serves as an educational resource for understanding the practical aspects of deploying ML systems in resource-constrained environments.

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Machine Learning Systems DesignMLOps and Model DeploymentDistributed Machine LearningML Infrastructure ArchitecturePerformance Optimization for MLScalable ML SystemsML System ReliabilityEdge Computing for MLML Model ServingResource Management for ML Workloads

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Machine Learning Systems DesignMLOps and Model DeploymentDistributed Machine LearningML Infrastructure ArchitecturePerformance Optimization for MLScalable ML SystemsML System ReliabilityEdge Computing for MLML Model ServingResource Management for ML WorkloadsModel Deployment StrategiesBrowser/WASMTechnical Documentation PublishingEducationProduction ML WorkflowsML Systems Course MaterialTextStatic WebsiteCodeMLOpsAcademic ResearchPerformance OptimizationML Infrastructure EngineeringInteractive Learning PlatformComputer Science EducationML Pipeline ArchitectureML EngineeringProduction ML SystemsScalable AI InfrastructureJavaScript

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Inference & ServingPrimaryML Platform & InfrastructureEdge & Mobile AISearch & KnowledgeOther AI / MLMLOps & InfrastructureDev Tools & AutomationLearning Resources

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Scale & ReliabilityCost & Efficiency

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JavaScript100.0%

Timeline

Project created
Sep 6, 2023
Forked
Dec 9, 2025
Your last push
4 months ago
Upstream last push
6 days ago
Tracked since
Dec 9, 2025

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