The unsupervised learning technique is where the initial data is not labelled. Insights are drawn by processing data whose structure is not known before hand. These are more complex processes since the system learns by itself without any intervention.

Some practical examples of unsupervised learning techniques are:

• User behavior analysis: Behavior analytics uses unlabelled data about different human traits and human interactions. This data is then used to put each individual into different groups based on their behavior patterns.

• Market basket analysis: This is another example where unsupervised learning helps identify the likelihood that certain items will always appear together. An example of such an analysis is the shopping cart analysis, where chips, dips, and beer are likely to be found together in the basket, as shown in the following diagram: