AI Terms [Coursera] Flashcards
AI (artificial intelligence)
AI stands for artificial intelligence, which is the simulation of human intelligence processes by machines or computer systems. AI can mimic human capabilities such as communication, learning, and decision-making.
AI ethics
AI ethics refers to the issues that AI stakeholders must consider to ensure technology is developed and used responsibly, including a safe, secure, unbiased, and environmentally friendly approach.
Algorithm
A sequence of rules given to an AI machine to perform a task or solve a problem, including classification, regression, and clustering.
Application programming interface (API)
A set of protocols that determine how two software applications interact, often written in languages like C++ or JavaScript.
Big data
Refers to large datasets that reveal patterns and trends for business decisions, often gathered and stored quickly in diverse formats.
Chatbot
A software application designed to imitate human conversation through text or voice commands.
Cognitive computing
Similar to AI, it focuses on mimicking human thought processes like pattern recognition and learning, sometimes used to reduce the sci-fi perception of AI.
Computer vision
An interdisciplinary field focusing on how computers can interpret images and videos, allowing for automation of tasks the human visual system typically performs.
Data mining
The process of analyzing large datasets to identify patterns that can improve models or solve problems.
Data science
An interdisciplinary field using algorithms and processes to gather and analyze large amounts of data, uncovering patterns for business insights.
Deep learning
A function of AI that imitates human brain structures to make decisions, learning from unstructured data without supervision.
Emergent behavior
When an AI system displays unpredictable or unintended capabilities.
Generative AI
Technology that uses AI to create content such as text, video, code, and images, often using models trained on large datasets.
Guardrails
Restrictions placed on AI systems to ensure appropriate data handling and prevent unethical content generation.
Hallucination
An incorrect response or false information generated by an AI system, presented as factual.
Hyperparameter
A parameter that affects how an AI model learns, typically set manually outside the model.
Image recognition
The process of identifying objects, people, places, or text within an image or video.
Large language model
An AI model trained on vast text datasets to understand and generate human-like language, including technologies like GPT and BERT.
Limited memory
AI systems that use real-time data to make better predictions by storing past events.
Machine learning
A subset of AI focusing on algorithms and models that help machines learn from data and predict trends without human assistance.
Natural language processing (NLP)
A type of AI enabling computers to understand and process human language, including speech and text recognition.
Neural network
A deep learning technique resembling the human brain, requiring large datasets to perform calculations for tasks like speech and vision recognition.
Overfitting
When a machine learning model is too tailored to its training data, limiting its ability to generalize to new data.
Pattern recognition
The method of using algorithms to detect and classify regularities in data.
