Machine Learning Paradigms
Learn about the three major Machine learning paradigms.
Machine learning can be divided into three categories:
- Supervised learning
- Unsupervised learning
- Reinforcement learning
Supervised machine learning
In supervised learning, the training data features are provided as input to the algorithm which also includes the output labels. The algorithms map the input to the output by using the provided input-output pairs.
Some common examples of supervised Machine learning are:
Classification
A machine is trained to classify the given data into a class.
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A linear boundary separating the two shapes