Software for the course

We recommend using either R or Python for this course. Read the following to make your choice:

A must read: How to choose a programming language for the course?

Here are some tutorials with information about how to get started. They have some examples of things you will probably need during the homework so take a look. There are not always explanations about every single part of every command, so feel free to check the documentation or consult other sources (or ask us) if you need extra information.

R tutorial to get started

Python+Jupyter tutorial to get started

If on the way you want to try using some additional software to understand and play around with the methods we learn, you can check out some links from below.

Toolboxes

• Weka - http://www.cs.waikato.ac.nz/ml/weka/
• ML-Demos - http://mldemos.epfl.ch/
• GNU plot - http://www.gnuplot.info/

Online demos

• ML Demos
• ML Gallery
• TensorFlow Playground - http://playground.tensorflow.org/
• ScikitLearn - demos - http://scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html