Artificial Intelligence - The simulation of human intelligence processes by machines, especially computer systems, Machine Learning - A subset of AI that enables systems to learn and improve from experience without being explicitly programmed, Socio-technological Systems - Systems that involve the interaction between society's complex infrastructures and human behavior., Data Sets - Collections of data that can be analyzed and used for various purposes in computer science., Algorithm - A set of rules or instructions designed to performa a specific task or solve a particular problem., Deep Learning - A subset of machine learning that uses neural networks to model and interpret complex patterns in data., Neural Network - A computer system modeled on the human brain's network of neurons, used in deep learning algorithms., Big Data - Extremely large data sets that may be analyzed to reveal patterns and trends., Natural Language Processing (NLP) - A branch of AI that enables computers to understan, interpret and generate human language., Bias - Systematic errors in data or algorithms that result in unfair outcomes, often related to social prejudices., Supervised Learning - A type of machine learning technique where models are trained on unlabeled data to make predictions or decisions., Unsupervised Learning - Machine learning technique where models are trained on unlabeled data to find patterns or relationships., Computer Vision - Field of Ai that enables computers to interpret and understand the visual world through digital images or videos.,

Intro to Artificial Intelligence

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