Artificial intelligence (AI) is defined as matching or exceeding human capabilities, involving skills such as discovering new information, inferring details from various sources, and reasoning. Machine learning (ML) is a subset of AI focused on making predictions or decisions based on data. Instead of being explicitly programmed, machine learning systems learn from data, improving their accuracy as they process more information. This process resembles sophisticated statistical analysis, where the objective is to extract meaningful insights and outcomes from large datasets. ML can be categorized into supervised and unsupervised learning. Supervised learning relies on human oversight to train models with labeled data, while unsupervised learning identifies patterns without explicit guidance. Additionally, deep learning is a subfield of machine learning that utilizes neural networks for complex data processing. Overall, AI encompasses a broader range of capabilities compared to the specific predictive focus of machine learning.