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teaching_resources

Compilation of teaching resources

https://github.com/neelsoumya/teaching_resources

Science Score: 67.0%

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    Found 3 DOI reference(s) in README
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    Links to: zenodo.org
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    Low similarity (5.4%) to scientific vocabulary

Keywords

bioinformatics biology data-science machine-learning teaching teaching- teaching-mate teaching-material teaching-resources
Last synced: 6 months ago · JSON representation ·

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Compilation of teaching resources

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Topics
bioinformatics biology data-science machine-learning teaching teaching- teaching-mate teaching-material teaching-resources
Created about 5 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Funding Citation

README.md

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/publicsupervisedmachine_learning
    • https://github.com/neelsoumya/practicalsupervisedmachine_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/PrinciplesofCompiler_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

Owner

  • Name: Soumya Banerjee
  • Login: neelsoumya
  • Kind: user
  • Location: Cambridge, UK
  • Company: University of Cambridge

My research interests are in complex systems data science, machine learning, computational biology, computational immunology and computational immunogenomics.

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Banerjee"
  given-names: "Soumya"
  orcid: "https://orcid.org/0000-0001-7748-9885"
title: "teaching_resources"
version: 1.0.0
doi: 10.5281/zenodo.4744564.
date-released: 2021-09-18
url: "https://github.com/neelsoumya/teaching_resources"

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