https://github.com/neelsoumya/teaching_resources

Compilation of teaching resources
https://github.com/neelsoumya/teaching_resources

bioinformatics biology data-science machine-learning teaching teaching- teaching-mate teaching-material teaching-resources

Last synced: 4 days ago
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Compilation of teaching resources

• Host: GitHub
• URL: https://github.com/neelsoumya/teaching_resources
• Owner: neelsoumya
• Created: 2021-01-09T10:35:01.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2024-02-29T14:45:11.000Z (9 months ago)
• Last Synced: 2024-02-29T15:54:21.779Z (9 months ago)
• Topics: bioinformatics, biology, data-science, machine-learning, teaching, teaching-, teaching-mate, teaching-material, teaching-resources
• Homepage: https://sites.google.com/site/neelsoumya/teaching
• Size: 43.9 KB
• Stars: 2
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • Citation: CITATION.cff

Awesome Lists containing this project

README

        
# teaching_resources

Teaching resources for data science, machine learning, complex systems, computer science, biology, bioinformatics and computational biology. 

* Teaching resources

    * https://sites.google.com/site/neelsoumya/teaching

    

* Data science resources

    * https://sites.google.com/site/neelsoumya/research-resources/tools-for-data-scientists

    

    

* Machine learning resources

    * https://sites.google.com/site/neelsoumya/research-resources/machine-learning

    

    * https://github.com/neelsoumya/butterfly_detector

    

    * https://github.com/neelsoumya/intro-machine-learning

    * https://github.com/neelsoumya/visualization_lecture

 

    * https://github.com/neelsoumya/public_supervised_machine_learning

 

    * https://github.com/neelsoumya/practical_supervised_machine_learning

    

   

* Basic statistics and prerequisities

    * https://sites.google.com/site/neelsoumya/research-resources/basic-statistics

    

    * https://github.com/neelsoumya/basic_statistics

* Basic mathematics

    * https://github.com/neelsoumya/mathematics

* Demo teaching lecture

    * A lecture on fault tolerant distributed computing

    

      * https://youtu.be/omxbpel-b64

      

    * A lecture on a fundamental concept in machine learning (bias variance tradeoff)

    

      * https://www.youtube.com/watch?v=4_la9-Ehvmo 

* Mathematical modelling

    * https://github.com/neelsoumya/mathematical_models

    

* Programming resources for teaching programming languages

    * https://github.com/neelsoumya/programming_resources

* Compilers and theory of types

    * https://en.wikipedia.org/wiki/Principles_of_Compiler_Design

    * https://www.cis.upenn.edu/~bcpierce/tapl/

* Algorithms

    * Cormen book on algorithms

    * https://web.ist.utl.pt/~fabio.ferreira/material/asa/clrs.pdf

* Theory of computation

    * https://www.youtube.com/watch?v=EwSYnIX2EF8&list=PLa8f1-ESrfVqh1K3qVxU5n4QZp7koYKcM&index=1

* Immunology

    * https://sites.google.com/site/neelsoumya/immunology-resources

    

* Bioinformatics

    * https://sites.google.com/site/neelsoumya/research-resources/bioinformatics

    * https://github.com/neelsoumya/bioinformatics_resources 

* Basics of biology

    * https://github.com/neelsoumya/biology_basics

    

* Complex systems resources

    * https://sites.google.com/site/neelsoumya/teaching

* Communications skills

    * https://www.youtube.com/watch?v=Unzc731iCUY

* Resources for teaching compiled in an Open Science Foundation (OSF) project

    * https://osf.io/25gnz/  

    

    

If you like this, please cite the following

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4744564.svg)](https://doi.org/10.5281/zenodo.4744564)