Artificial Intelligence and Information Review

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A comprehensive set of vocabulary flashcards covering AI concepts, machine learning models, history, natural language processing, and Python-based data science fundamentals.

Last updated 7:08 PM on 7/26/26
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29 Terms

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Artificial Intelligence (AI)

The technology that allows machines and computers to replicate human intelligence, enabling systems to perform tasks like decision-making, learning from data, and solving complex problems.

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Machine Learning (ML)

A subset of AI that uses algorithms to analyze data, identify patterns, and make decisions with minimal human intervention.

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Deep Learning

A method that mimics neural networks of the human brain to autonomously uncover patterns and make informed decisions from vast amounts of unstructured data.

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ChatGPT

An AI example that uses large language models (LLMs) to generate text in response to questions or comments.

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Computer Vision

Technology used by systems like Tesla to power self-driving features on cars by interpreting visual data.

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Supervised Learning

A model where the AI is provided with a set of examples where both the input and the desired output (labels) are known, such as teaching a system to recognize handwritten numbers.

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Unsupervised Learning

A model where the AI is given input data without labels or explicit instructions, requiring it to find hidden patterns or clusters on its own.

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Reinforcement Learning

A type of learning where the AI learns through a system of rewards and penalties to develop a strategy (policy) that maximizes cumulative rewards.

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Automaton

A word from ancient Greek meaning "acting of one's own will," referring to mechanical objects that move independently of human intervention.

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The Turing Test

A measure of computer intelligence proposed by Alan Turing in 1950 in his work "Computer Machinery and Intelligence."

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Intelligent Agent

A subset of AI systems demonstrating adaptive learning, planning, and problem-solving within dynamic environments.

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Perception (Intelligent Agent)

The use of sensors or mechanisms to observe and perceive aspects of an environment by collecting data from the physical world or databases.

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Actuators

Tools such as wheels, motors, or computer screens that an AI agent uses to interact with its environment through actions.

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Sentiment Analysis

The process of classifying the emotional intent of text as positive, negative, or neutral.

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Toxicity Classification

A branch of sentiment analysis aimed at classifying hostile intent, including threats, insults, and hatred towards certain identities.

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Information Retrieval

The process of finding the documents most relevant to a query from a collection that may number in the millions.

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Python

A popular programming language released in 1991 by Guido van Rossum, used for web development, software development, mathematics, and system scripting.

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NumPy

Short for Numerical Python, it is a fundamental library for numerical computing that provides efficient multi-dimensional array objects.

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Pandas

An open-source Python library built on top of NumPy used for data manipulation and analysis, well-suited for tabular data like spreadsheets.

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Matplotlib

A Python library used for data visualization and plotting graphs.

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Convolutional Neural Networks (CNNs)

Specialized neural networks for processing grid-like data, such as images, using convolutional layers to detect spatial hierarchies.

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Recurrent Neural Networks (RNNs)

Neural networks designed to process sequential data like time series or natural language by using loops to retain information over time.

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Generative Adversarial Networks (GANs)

A system consisting of a generator and a discriminator network that compete to create realistic data.

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Transformer Networks

Networks that utilize self-attention mechanisms to excel at NLP tasks like translation and text generation, powering models like GPT and BERT.

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List (Python)

A specific data structure similar to an array where data elements can be of different data types.

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Tuple (Python)

A Python data structure similar to a list but immutable, meaning its values cannot be modified once created.

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Dictionary (Python)

A Python-specific data structure that contains data elements as key-value pairs.

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Stack

A linear data structure that follows specific orders of operation: LIFO (Last In First Out) or FILO (First In Last Out).

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Queue

A linear data structure that follows the FIFO (First In First Out) order of operation.