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AI & Data Science

Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, particularly computer systems, encompassing learning, reasoning, and self-correction. AI can be categorized into narrow AI, which is task-specific, and general AI, which possesses the ability to understand and apply knowledge across various tasks, similar to human intelligence. Key subfields include machine learning, deep learning, natural language processing, and computer vision.

Data Science on the other hand, is an interdisciplinary field focused on extracting knowledge and insights from data. It involves data collection, cleaning, analysis, visualization, and modeling using statistical and computational techniques. Data science employs tools and languages such as Python, R, pandas, and machine learning libraries like TensorFlow and scikit-learn. While AI aims to create intelligent systems for specific or general tasks, data science is centered on deriving actionable insights from data, with both fields significantly advancing technology and having broad applications across industries.