Machine Learning
Definition:
Machine Learning (ML) is a subset of artificial intelligence (AI) that enables computers to learn from and make decisions based on data without being explicitly programmed. It involves the development of algorithms that can identify patterns, make predictions, and improve from experience.

Key Components:

Data:

The foundation of ML, consisting of training data and testing data.
Quality and quantity of data are crucial for model accuracy.
Algorithms:

Set of rules or procedures used to find patterns in data.
Examples include decision trees, neural networks, and support vector machines.
Model:

A mathematical representation of the real-world process based on data.
Created by training an algorithm on a dataset.
Training:

The process of feeding data into the algorithm to learn patterns.
Involves adjusting parameters to minimize errors.
Evaluation:

Assessing the model's performance using new data.
Metrics such as accuracy, precision, recall, and F1-score are used.