A
Artificial Intelligence (AI)
The broad field of creating systems that simulate human intelligence
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Backpropagation
A key algorithm for training neural networks by adjusting weights based on errors
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Convolutional Neural Network (CNN)
A type of neural network commonly used for image recognition
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F
Feature Engineering
The process of selecting and transforming data for better AI performance
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I
Intelligence
The ability of AI to perform tasks requiring reasoning learning or perception
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Joint Probability
A statistical concept used in AI to model relationships between variables
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Knowledge Representation
How AI stores and organizes information to reason about the world
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Large Language Model (LLM)
AI models trained on vast text data for natural language tasks
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Machine Learning (ML)
A subset of AI where systems learn from data without explicit programming
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Natural Language Processing (NLP)
AI techniques for understanding and generating human language
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A computational model inspired by the human brain central to deep learning
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Overfitting
When an AI model learns training data too well failing to generalize to new data
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R
Recurrent Neural Network (RNN)
A neural network designed for sequential data like time series or text
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A type of ML where agents learn by trial and error to maximize rewards
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U
Underfitting
Underfitting happens when a machine learning model is too simple, meaning it fails to learn the important patterns in the data.
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X
XAI (Explainable AI)
Techniques to make AI decision-making transparent and understandable
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Z
Zero-Shot Learning
AI's ability to perform tasks without prior specific training examples
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