https://github.com/daodavid/maths-behind-ml

Maths behind machine learning and some implementations from scratch.
https://github.com/daodavid/maths-behind-ml

cross-entropy cross-entropy-loss gradient-descent log-odds logistic-regression maximum-likelihood-estimation ratio-odds softmax-regression taylor-expansion

Last synced: 4 months ago
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Maths behind machine learning and some implementations from scratch.

• Host: GitHub
• URL: https://github.com/daodavid/maths-behind-ml
• Owner: daodavid
• License: other
• Created: 2019-09-10T10:25:08.000Z (over 6 years ago)
• Default Branch: gh-pages
• Last Pushed: 2022-07-30T02:01:02.000Z (almost 4 years ago)
• Last Synced: 2025-07-25T18:12:23.571Z (10 months ago)
• Topics: cross-entropy, cross-entropy-loss, gradient-descent, log-odds, logistic-regression, maximum-likelihood-estimation, ratio-odds, softmax-regression, taylor-expansion
• Language: Jupyter Notebook
• Homepage:
• Size: 26.3 MB
• Stars: 3
• Watchers: 1
• Forks: 1
• Open Issues: 9
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

Awesome Lists containing this project

README

          
 Machine Learning 
   


Maths

   


            


Linear Algebra- in Progress 

             


Mathematical Analysis - in Progress 
    

             


Probability and Statistic - in Progress 

   
  


ML

   From maths to implementations of:

  


   

    


      
Linear Regression - in Progress

      
Logistic Regression - - in Progress 

      
Softmax regression

      
Priciple Component Analisys

   
 

 


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