What is the difference between supervised learning and unsupervised learning? Give concrete examples
What is the difference between supervised learning and unsupervised learning? Give concrete examples
for concrete examples ref:
Machine Learning: Supervised Learning vs Unsupervised Learning | by Gowthamy Vaseekaran | Medium.
SUPERVISED LEARNING:
Applications in which the training data comprises examples of the input vectors along with their corresponding target vectors are known as supervised learning problems.
UNSUPERVISED LEARNING:
In other pattern recognition problems, the training data consists of a set of input vectors x without any corresponding target values. The goal in such unsupervised learning problems may be to discover groups of similar examples within the data, where it is called clustering.