Core AI Concepts Flashcards
| Acronym | Definition |
|---|---|
| What is Artificial Intelligence | The simulation of human intelligence in machines that perform tasks typically requiring human intelligence |
| What is Machine Learning | A subset of AI that uses algorithms to allow computers to learn from data and make predictions or decisions |
| What is Deep Learning | A specialized branch of machine learning using neural networks with many layers to analyze complex patterns |
| What are the main types of Machine Learning | Supervised Learning, Unsupervised Learning and Reinforcement Learning |
| Define Supervised Learning | A type of machine learning where the model is trained on labeled data |
| Define Unsupervised Learning | A type of machine learning where the model identifies patterns and relationships in unlabeled data |
| Define Reinforcement Learning | A type of machine learning where an agent learns to make decisions by receiving rewards or penalties |
| What is Classification | A supervised learning task that assigns a category label to data |
| What is Regression | A supervised learning task that predicts a continuous value based on input data |
| What is Anomaly Detection | A method used to identify unusual patterns or outliers in data |
| What is Fairness in AI | Ensuring AI systems provide unbiased results and do not discriminate against certain groups |
| What is Transparency in AI | The ability to understand and interpret how an AI system makes decisions |
| What is Accountability in AI | Holding developers and organizations responsible for the outcomes of AI systems |
| What is the difference between AI Machine Learning and Deep Learning | AI is the overall concept ML is a subset of AI and Deep Learning is a specialized branch of ML |
| What is Data Science | An interdisciplinary field focused on extracting insights from data using various techniques |
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Define Reinforcement Learning
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A type of machine learning where an agent learns to make decisions by receiving rewards or penalties
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What is Classification
Back
A supervised learning task that assigns a category label to data
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What is Deep Learning
Back
A specialized branch of machine learning using neural networks with many layers to analyze complex patterns
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What is Fairness in AI
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Ensuring AI systems provide unbiased results and do not discriminate against certain groups
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What is Artificial Intelligence
Back
The simulation of human intelligence in machines that perform tasks typically requiring human intelligence
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What is Accountability in AI
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Holding developers and organizations responsible for the outcomes of AI systems
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What is the difference between AI Machine Learning and Deep Learning
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AI is the overall concept ML is a subset of AI and Deep Learning is a specialized branch of ML
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What is Regression
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A supervised learning task that predicts a continuous value based on input data
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Define Supervised Learning
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A type of machine learning where the model is trained on labeled data
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What is Transparency in AI
Back
The ability to understand and interpret how an AI system makes decisions
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What is Data Science
Back
An interdisciplinary field focused on extracting insights from data using various techniques
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What is Machine Learning
Back
A subset of AI that uses algorithms to allow computers to learn from data and make predictions or decisions
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What are the main types of Machine Learning
Back
Supervised Learning, Unsupervised Learning and Reinforcement Learning
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Define Unsupervised Learning
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A type of machine learning where the model identifies patterns and relationships in unlabeled data
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What is Anomaly Detection
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A method used to identify unusual patterns or outliers in data
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