What is machine learning and how does it work ?

Machine Learning is a branch of Artificial Intelligence that allows machines to learn and improve from experience automatically. It is defined as the field of study that gives computers the capability to learn without being explicitly programmed. It is quite different from traditional programming.

How Machine Learning Works
Machine learning involves several key steps:
1. Data Collection
The process begins with collecting data, which serves as the foundation for learning. This data can come from various sources, such as databases, sensors, or online platforms. The quality and quantity of data are crucial, as they directly impact the accuracy of the machine learning model.

2. Data Preparation
Once data is collected, it needs to be cleaned and formatted. This step, known as data preprocessing, involves handling missing values, normalizing data, and converting categorical variables into numerical formats.

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