@@ -47,9 +47,8 @@ summary: |
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This guide walks you through the steps to containerize a machine learning
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model and deploy it using Docker, enabling scalable and portable AI
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solutions.
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+ tags : [machine-learning, deployment]
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languages : [python]
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- subjects : [machine-learning, deployment]
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- levels : [intermediate]
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params :
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time : 30 minutes
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---
@@ -61,16 +60,14 @@ params:
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- ` linkTitle ` (optional): A shorter title used in navigation menus.
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- ` description ` (required): A concise description for SEO purposes.
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- ` summary ` (required): A brief overview of the guide's content.
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- - ` languages ` (optional): List of programming languages used.
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- - ` subjects ` (optional): Domains or subject areas covered.
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- - ` levels ` (optional): Intended audience experience level (` beginner ` , ` intermediate ` , ` advanced ` ).
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- - ` products ` (optional): List of programming languages used.
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+ - ` languages ` \* (optional): List of programming languages used.
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+ - ` tags ` \* (optional): Domains or subject areas covered.
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- ` params `
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- ` time ` (optional): Estimated reading or completion time.
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- The ` languages ` , ` subjects ` , ` levels ` , and ` products ` keys are taxonomies, and
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- the values are used to associate the page with the filter options on the guides
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- landing page.
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+ \* Do apply at least one of the ` languages ` or ` tags ` taxonomies. The values
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+ are used to associate the page with the filter options on the guides landing
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+ page.
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## Document structure
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