Machine Learning for Everybody

Table of Contents

• Introduction
  • Motivation
    • What's the point of this open source project?
  • Machine Learning
    • Overview of machine learning
    • Supervised learning
    • Unsupervised learning
    • Deep Learning
  • Pull Request Process
  • Final Note

Introduction

Motivation

What's the point of this open source project?

Machine Learning

Overview of machine learning

Title	Text	Software
Linear Regression	Paper	Code
overfitting	Paper	Code
regularization	Paper	Code
cross-validation	Paper	Code

Supervised learning

Title	Text	Software
Decision trees	Paper	Code
Naive Bayes	Paper	Code
Logistic Regression	Paper	Code
Support Vector Machines	Paper	Code

Unsupervised learning

Title	Text	Software
clustering	Paper	Code
Principal Components Analysis	Paper	Code

Deep Learning

Title	Text	Software
Neural Networks Overview	Paper	Code
Convolutional Neural Networks	Paper	Code
Recurrent Neural Networks	Paper	Code
Autoencoders	Paper	Code

Pull Request Process

Please consider the following criterions in order to help us in a better way:

1. The pull request is mainly expected to be a link suggestion.
2. Please make sure your suggested resources are not obsolete or broken.
3. Ensure any install or build dependencies are removed before the end of the layer when doing a build and creating a pull request.
4. Add comments with details of changes to the interface, this includes new environment variables, exposed ports, useful file locations and container parameters.
5. You may merge the Pull Request in once you have the sign-off of at least one other developer, or if you do not have permission to do that, you may request the owner to merge it for you if you believe all checks are passed.

Final Note

We are looking forward to your kind feedback. Please help us to improve this open source project and make our work better. For contribution, please create a pull request and we will investigate it promptly. Once again, we appreciate your kind feedback and support.