Golang pathfinding - lessons learned(blog.hiresasha.net)

   1. It ll have n+1 sheets ..
   2. Like a 3d periodic table for methods
   3. every step begins with a new row every block of which in a diff column will contain a symbol/operator/number etc.
   4. first n sheets will contain n methods to solve problem x,with n*m(i) error functions .[m(i) number of steps in ith)
   5. n sheets will be connected semantically and contextually optimized
   6. combinations of steps.
   7. on n+1 th sheet user feeds his problem ,
   8. If the context is matched,he is asked to feed his method steps to
      solve the problem on the RHS of the n+1 th sheet he gets validity/proof
      of his steps and recommended steps for optimized error in terms of
      contextual tolerance
   9. #example spreadsheet
      https://spreadsheets.google.com/...
      assume that recommender is added to this sheet's back-end
      Look at this sheet
      now if i want to make a new sheet to strategize  say my academics
      and start feeding parameters to this new  sheet
      [switch to listview of spreadsheet]
      when i click a drop down in list view i ll see the recommended data formula to feed with it's row*column location.
  10. I find it related to structured prediction
  11. #use case
  12. think of toy design or drug formulation companies.
      ##They have vast unorganized history{across past aand organization} of methododologies and results ##
      which can be converted to methodbase ,
      just as documents s are converted to knowledge base using machine learning semantics .
      this method-base is comparable to the old sheets on the example spreadsheet i messaged you earlier......
      The
      charles sheet on the spreadhseet was comparable to GUI of the product
      where the drug formulator /toy designer feeds his objective and blocks
      of procedure( steps of solution ,methods, images etc }
      this gets compared with what is recorded on old sheets[method-base]
      and
      on the RHS of Charles sheet recommended steps /methods appear such that
      noise/signal ,learning curve,resource stress ,risk and error count is
      mitgiated .