Machine Learning (ML) vs Artificial Intelligence (AI)
Machine Learning (ML) and Artificial Intelligence (AI) are related but distinct fields within computer science. ML refers to the development of algorithms and statistical models that allow computers to improve their performance on a specific task through experience. For example, a machine learning model can be trained on a dataset of images to identify objects in new images with increasing accuracy over time. AI , on the other hand, refers to the broader concept of machines being able to perform tasks that typically require human intelligence, such as perception, reasoning, decision making, and natural language processing. AI systems can be powered by various techniques, including machine learning, but also rule-based systems, expert systems, and others. In essence, ML is a subset of AI , providing the underlying mechanism for enabling AI systems to learn and improve their performance. The development of ML and AI has been driven by the availability of large amounts of data and ...