Q. How does artificial intelligence learn from data

Artificial intelligence learns from data through various techniques, primarily machine learning algorithms. These algorithms enable AI systems to analyze and identify patterns within the data. The process involves training the model on a dataset, allowing it to learn from the examples and make predictions or decisions based on that data. The more diverse and extensive the dataset, the more accurate the AI model becomes. Key techniques include supervised, unsupervised, and reinforcement learning, each suited to different types of data and learning objectives. This learning process is iterative, with the AI system refining its performance over time as it encounters more data.