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Markdown Templates to build a task-targeted knowledge base for work in Machine Learning / Data Science

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ML-problem-solution-md-templates

Markdown Templates for a task-targeted personal knowledge database in markdown.

Goal

These templates are to function as a practical problem-solution lookup with each solution including

  • use case
  • assumptions
  • example
  • code example
  • references (internal)
  • library refs

Organization and Note Types (goal of quick useful reference)

Provided templates

  • problem type
  • problem
  • solution
  • object

General workflow:

  • find problem type you are struggling within the ::ptyp (problemtype note)
  • find specifc problem note
  • linked are "solution notes" with ways to solve the relevant problem (concept, implementation, references)

Associated Note Types:

  • ::ptype indicated with #UU for general problem type (example "UU--overfitting")
  • ::Problem (indicated by #U ) for more specific problem ("regularization for overfitting...)
  • ::solution ("L1 regularization for overfitting")
  • ::object ("penalty term")

If you have a Job / Training focus

  1. Taylor the problem types to what you exoect to encounter at your job.

  2. focus on what might take you too much time to hunt for solutions in real-time.

  3. be sure examples are well annotated

  4. include references to relevant functions in associated libraries

  5. Flow: problem type -> problem -> solution under assumptions -> examples

I hope these are helpful

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Markdown Templates to build a task-targeted knowledge base for work in Machine Learning / Data Science

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