To be able to edit code and run cells, you need to run the notebook yourself. Where would you like to run the notebook?

This notebook takes about 30 seconds to run.

In the cloud (experimental)

Binder is a free, open source service that runs scientific notebooks in the cloud! It will take a while, usually 2-7 minutes to get a session.

On your computer

(Recommended if you want to store your changes.)

  1. Download the notebook:
    notebook.jl
  2. Run Pluto

    (Also see: How to install Julia and Pluto)

  3. Open the notebook file

    Type the saved filename in the open box.

Frontmatter

If you are publishing this notebook on the web, you can set the parameters below to provide HTML metadata. This is useful for search engines and social media.

Author 1
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Welcome!

On the following pages you find interactive animations, code examples and conceptual and applied exercises to learn more about machine learning.

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On the following pages you find interactive animations, code examples and conceptual and applied exercises to learn more about machine learning.
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Course Overview

  1. Introduction

  2. Supervised Learning

  3. Generalized Linear Regression

  4. Flexibility and Bias-Variance-Decomposition

  5. Model Assessment

  6. Regularization

  7. Transformations of Input or Output

  8. Gradient Descent

  9. Multilayer Perceptrons

  10. Other Nonlinear Methods

  11. Clustering

  12. Principal Component Analysis

  13. Reinforcement Learning

Optional Extras:

  1. Transfer Learning

  2. Generative Models

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This page is part of an introductory machine learning course taught by Johanni Brea.
The course is inspired by "An Introduction to Statistical Learning".

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