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docs/mlpaths.md

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We present 12 topics in the data science learning path, providing learning objectives, related skills, subtopics, and references/resources for each. The goal is to give graduate students a structured and comprehensive program to acquire data science expertise, including hands-on experience with real-world open-source tools and libraries.
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```
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eth["`**Ethics**`"] --> ds
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ds --> stats["`**Statistics**`"]
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eth --> stats
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C --> cdci["`**Model Deployment and Productionization**`"]
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D --> cdci
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ds --> cdci
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eth --> C
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eth --> D
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```
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```mermaid
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timeline
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title History of Social Media Platform
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2002 : LinkedIn
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2004 : Facebook
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: <a href='http://google.com'>Google</a>
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2005 : Youtube
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2005 : Youtube
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2006 : Twitter
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click Youtube href 'http://www.youtube.com' 'Open' _blank
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```
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```mermaid

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