AI (Artificial Intelligence): AI refers to the simulation of human intelligence processes by machines, particularly computer systems. It involves tasks such as reasoning, learning, problem-solving, perception, and language understanding. AI can be further classified into narrow AI, which is designed for a particular task, and general AI, which aims to emulate human intelligence across various domains.
Machine Learning: Machine Learning is a subset of AI that focuses on the development of algorithms and statistical models that enable computers to perform tasks without explicit instructions. Instead, these systems learn from data, identify patterns, and make decisions with minimal human intervention. Machine Learning techniques include supervised learning, unsupervised learning, and reinforcement learning.
AI : AI finds applications across various industries, including healthcare (diagnosis and treatment planning), finance (fraud detection and algorithmic trading), automotive (autonomous vehicles), and entertainment (recommendation systems). Virtual assistants like Siri and Alexa are also examples of AI technology used in everyday life.
Machine Learning : Machine Learning is employed in diverse fields such as natural language processing (language translation and sentiment analysis), computer vision (object recognition and image classification), recommendation systems (Netflix and Amazon product recommendations), and healthcare (personalized medicine and disease prediction).