Workshop 5: Learning

After preparing the data you can learn it. There are two main learning methods: supervised, when we have labels and we want to learn a model using those to predict future samples (classification) or when we don’t know the label and we simply want to find pattern and classes (clustering).

• Unsupervised
• Supervised learning

You can choose to code your models in R or Python or use specialized interatice platforms such as RapidMiner, KNIME, or Weka.