3 Types of Machine Learning You Must Know
Supervised Learning
It involves training a model on a labeled dataset, where each input is associated with a corresponding output
Example:
Image classification, where the algorithm learns to identify objects based on labeled images
Unsupervised Learning
It explores data without labeled outputs, allowing the algorithm to find patterns, relationships, and hidden structures
Example:
Clustering algorithms group similar data points together without predefined categories
Reinforcement Learning
It involves an agent that learns to make decisions by interacting with an environment and receiving feedback
Example:
Training a computer program to play games, where it learns from both successes and failures
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