Artificial Intelligence (AI)
Artificial Intelligence (AI) is a rapidly advancing field of computer science that aims to create intelligent machines capable of performing tasks that typically require human-level intelligence, such as visual perception, speech recognition, decision-making, and language translation.
AI can be classified into two broad categories: narrow or weak AI and general or strong AI. Narrow AI is designed to perform a specific task or set of tasks, such as playing chess, recognizing faces, or driving a car. On the other hand, general AI aims to create machines that can think and reason like humans and can perform a wide range of cognitive tasks across different domains.
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Machine Learning
Machine learning is a subfield of artificial intelligence that enables computer systems to learn and improve from experience without being explicitly programmed. It uses statistical algorithms to analyze and interpret data patterns, make predictions, and automate decision-making processes.
There are three types of machine learning: supervised learning, unsupervised learning, and reinforcement learning. In supervised learning, the algorithm learns from labeled data and is trained to make predictions on new data based on these labels. Unsupervised learning, on the other hand, involves learning from unlabeled data, and the algorithm identifies patterns and structures in the data. Reinforcement learning involves the use of trial and error methods to optimize the algorithm's behavior in response to rewards or penalties.
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