Envolves data collection, preprocessing, and analysis.In addition, discuss the types of data used and how it impacts the performance of machine learning models.

Highlight the role of algorithms, such as regression, classification, clustering, and deep learning, in extracting patterns and making predictions from data.

Discuss the process of training machine learning models using data, including techniques like feature extraction, model selection, and parameter optimization.