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reicolina / angular-two-dots.md
Last active May 10, 2017 21:53
AngularJS and why you need one or more “dots”

In Angular, it is recommended to add objects to a scope instead of primitive values (always having one or more “dots” when accessing your models)

The reason is: prototypical inheritance. As you know, Javascript is different from classical OOP; inheritance is done in a prototypical matter. Angular follows this pattern in a way that scopes inherit prototypically from their parent scopes.

When implemented incorrectly, two-way data binding breaks if you have two or more nested elements that use separate controllers that point to the same model. Here is why:

Imagine you have two nested elements:




  


  




    


          
    

      

        
        

          

              @reicolina
          

          

            
                reicolina
                / amplify4selling-contact-import.py
            
            

              Last active
              October 13, 2017 21:58
            

              
                Hootsuite Amplify for Selling Contact Import Script
              
          

        

      

        

  

    
    


        



  


  

        

          
          #  ___             ,_,              ___
        

        

          
          # (o,o)           (o,o)         ,,,(o,o),,,
        

        

          
          # {`"'}           {`"'}          ';:`-':;'
        

        

          
          # -"-"-           -"-"-            -"-"-
        

        

          
          #
        

        

          
          # AMPLIFY FOR SELLING: CONTACT IMPORT SCRIPT
        

        

          
          # ==========================================
        

        

          
          # 1.- Obtain CSV file(s) from your data source.
        

        

          
          # 2.- Save the CSV file in the same folder as this script.
        

        

          
          # 3.- Replace the HOOTSUITE_MEMBER_ID, AMPLIFY_API_KEY, CRM_MAPPING_URL
        

  





    


  




    


          
    

      

        
        

          

              @reicolina
          

          

            
                reicolina
                / ml-learning-material.md
            
            

              Last active
              January 19, 2018 06:31
            

              
                A Machine Learning Reference Material Guide
              
          

        

      

        

  

      

    
Machine Learning Reference Material Guide


Math Theory


Linear Argebra:


In ML, Linear Algebra comes up everywhere. Topics such as Principal Component Analysis (PCA), Singular Value Decomposition (SVD), Eigendecomposition of a matrix, LU Decomposition, QR Decomposition/Factorization, Symmetric Matrices, Orthogonalization & Orthonormalization, Matrix Operations, Projections, Eigenvalues & Eigenvectors, Vector Spaces and Norms are needed for understanding the optimization methods used for machine learning.


    

  • Deep Learning Book, Chapter 2: Linear Algebra. A quick review of the linear algebra concepts relevant to machine learning. https://goo.gl/O5vgpm
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  • A First Course in Linear Model Theory by Nalini Ravishanker and Dipak Dey. Textbook introducing linear algebra in a statistical context. https://goo.gl/2A4Wi5
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Probability Theory and Statistics:



  


  




    


          
    

      

        
        

          

              @reicolina
          

          

            
                reicolina
                / cla-assistant.md
            
            

              Last active
              November 8, 2021 08:52
            

              
                GIthub Inegration with CLA Assistant
              
          

        

      

        

  

      

    
Integrating your Github repo with CLA Assistant (https://cla-assistant.io/) to handle Contributor License Agreements (CLA) signing.


Visual Demo:







Setup Instructions:


    

  • Go to https://cla-assistant.io/ and sign in with Github. Make sure that you also Grant access to your organization (if applicable)
    •