Supervised Learning and unsupervised learning in data mining and artificial intelligence

In this tutorial, we will try to answer the followings;

  1. What is Supervised Learning in data mining and artificial intelligence
  2. Examples of Supervise Learning in data mining and artificial intelligence
  3. What is Unsupervised learning in data mining and artificial intelligence
  4. Examples of Unsupervised learning in data mining and artificial intelligence

What is Supervised Learning in data mining and artificial intelligence?

In supervised learning, programmer/supervisor of the system train the system that how the system will learn the new things.

Examples of Supervise Learning in data mining and artificial intelligence.

For example, we have trained our system according to the following rules;

If the shape of the object is long and curved with dark Yellow or yellow color, then it will be labeled as Banana.

difference between supervised and unsupervised learning

Similarly, If the shape of an object is a round shape and color is orange then it will be labeled as Orange.

supervised learning in artifical intelligance

Now if we give input to the system then the system can easily tell us that the fruit is banana or orange. The reason is that we already train the system. Anything found by the system having long curved shape and color yellow is labeled as a banana. However, it may be banana or sometimes an object with long curved shape can’t be a banana. This is a discussion we will discuss the accuracy of supervised learning that how accurate is our learning.

supervised learning in data mining

Classification and regression are the examples of supervised learning.

What is Unsupervised learning in data mining and artificial intelligence?

In unsupervised learning, the system is not trained earlier but after taking the inputs the system will decide the objects according to the similarity and difference of patterns

Examples of Unsupervised learning in data mining and artificial intelligence

For example, our system can create the clusters as follows;

  • All objects with wings are birds
  • All objects without wings are not birds.

unsupervised learning

Now the system can easily judge that;

  • Sparrow is a bird.
  • Orange and banana are not birds.

Clustering  (Read More about clustering)  and association are common examples of unsupervised learning.