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Machine Learning Glossary

Brief visual explanations of machine learning concepts with diagrams, code examples and links to resources for learning more.

Warning

This document is under early stage development. If you find errors, please raise an issue or contribute a better definition!

.. toctree::
    :caption: Basics
    :maxdepth: 1

    linear_regression
    gradient_descent
    logistic_regression
    glossary

.. toctree::
    :caption: Math
    :maxdepth: 1

    calculus
    linear_algebra
    Probability (TODO) <probability>
    Statistics (TODO) <statistics>
    math_notation

.. toctree::
    :maxdepth: 1
    :caption: Neural Networks

    nn_concepts
    forwardpropagation
    backpropagation
    activation_functions
    layers
    loss_functions
    optimizers
    regularization
    architectures

.. toctree::
    :maxdepth: 1
    :caption: Algorithms (TODO)

    Classification <classification_algos>
    Clustering <clustering_algos>
    Regression <regression_algos>
    Reinforcement Learning <reinforcement_learning>

.. toctree::
    :maxdepth: 1
    :caption: Resources
    :titlesonly:

    datasets
    libraries
    papers
    Other <other_content>

.. toctree::
    :maxdepth: 1
    :caption: Contributing
    :titlesonly:

    How to contribute <contribute>


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