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MLOps

MLOps (Machine Learning Operations) ek set of practices hai jo Machine Learning (ML) models ko…

Overview
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MLOps — Quick Facts

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Property: Detail

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Full Name: Machine Learning Operations

Abbreviation: MLOps

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Type: Engineering Practice / Discipline

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Infobox

📊 | Property | Detail | |---|---| | Full Name | Machine Learning Operations | |…
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History

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2015–2017: Companies jaise Google,…

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2018–2019: "MLOps" term industry…

2019: Google Cloud ne MLOps…

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2020–2021: COVID-19 ne digital…

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Why MLOps Zaroori Hai

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Notebook code production-ready…

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Dependencies aur environments…

Data pipelines reproducible nahi…

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Model performance degrade hoti hai…

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Core Principles

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Manual steps minimize karo — data…

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CI/CD pipelines + Continuous…

Human-in-the-loop sirf critical…

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Har experiment reproduce ho sake —…

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MLOps Lifecycle Diagram

🎲 `mermaid flowchart TD A["Business Problem\nDefinition"] --> B["Data Collection\n&…
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MLOps vs DevOps vs DataOps

🔍 | Aspect | DevOps | MLOps | DataOps | |---|---|---|---| | Focus | Software delivery | ML…
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Key Components

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Centralized repository for ML…

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Reusable features across models…

Consistent feature computation —…

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Examples: Feast, Tecton,…

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MLOps Maturity Levels

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Deployment slow aur error-prone

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Model stale ho jaata hai (no…

No reproducibility

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Data scientist bottleneck

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Popular Tools aur Platforms

📊 | Tool / Platform | Category | Type | Key Strength | |---|---|---|---| | MLflow |…
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MLOps Architecture Patterns

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Ek single platform (e.g., Vertex…

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Pros: Simple, managed, less…

Cons: Vendor lock-in, limited…

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Har component ke liye best tool…

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Challenges

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Culture Gap: Data scientists aur…

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Skill Gap: MLOps ka skillset…

Ownership: Kaun responsible hai…

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ROI Justification: MLOps…

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Best Practices

🧮 Getting Started 1. Level 0 se shuru karo — pehle ek model production me deploy karo…
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Glossary

🎲 | Term | Meaning | |---|---| | MLOps | Machine Learning Operations — practices for…
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Disclaimer

🔍 Yeh article sirf educational aur informational purposes ke liye hai. MLOps ek rapidly…
Comparison

MLOps vs DevOps vs DataOps

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Focus: Software delivery

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Primary Artifact: Application code

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Testing: Unit, integration, E2E

Diagram
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Visual Flow

📊 Diagram visualization — details in narration
Related Topics

See Also

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Machine Learning

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DevOps

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Continuous Integration

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Continuous Delivery

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Docker

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Kubernetes

Quick Quiz
🧠 QUIZ TIME

Quiz — Question 1

MLOps ka sabse sahi definition kya hai?

Quick Quiz
🧠 QUIZ TIME

Quiz — Question 2

MLOps ka 'Full Name' kya hai?

Complete! 🎉
COMPLETE

MLOps Complete!

Aliens Wiki · HIEN · Cinematic Knowledge

MLOps Complete

➡️

Machine Learning

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