Teaching resources for data science, machine learning, complex systems, computer science, biology, bioinformatics and computational biology.
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Teaching resources
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Data science resources
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Machine learning resources
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https://sites.google.com/site/neelsoumya/research-resources/machine-learning
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https://github.com/neelsoumya/butterfly_detector
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https://github.com/neelsoumya/intro-machine-learning
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https://github.com/neelsoumya/visualization_lecture
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https://github.com/neelsoumya/public_supervised_machine_learning
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https://github.com/neelsoumya/practical_supervised_machine_learning
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Basic statistics and prerequisities
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Basic mathematics
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Demo teaching lecture
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A lecture on fault tolerant distributed computing
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A lecture on a fundamental concept in machine learning (bias variance tradeoff)
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Mathematical modelling
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Programming resources for teaching programming languages
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Compilers and theory of types
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Algorithms
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Cormen book on algorithms
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https://web.ist.utl.pt/~fabio.ferreira/material/asa/clrs.pdf
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Theory of computation
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Immunology
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Bioinformatics
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Basics of biology
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Complex systems resources
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Communications skills
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Resources for teaching compiled in an Open Science Foundation (OSF) project
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