In simple terms, what is Artificial Intelligence (AI)?

Artificial Intelligence Explained

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The simple definition you are reviewing—that AI is when machines are trained to think, learn, and solve problems just like humans—is the core concept of Artificial Intelligence. AI is defined as a field of computer science that focuses on the creation of intelligent machines which can work and react like humans

What is the term for an AI model whose decision-making process is not understood by its users, such as doctors using a diagnostic model?

Artificial Intelligence Explained

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The term "black box" model accurately describes an Artificial Intelligence system whose decision-making process is fundamentally opaque, meaning its inner workings are not understood by its users. This opacity presents a significant challenge, which the sources address through the concept of Explainable AI (XAI)

In a regression problem, the variable that does not depend on anything else is called the _____ variable.

Artificial Intelligence Explained

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This flashcard accurately identifies the key characteristic of the independent variable within the context of a regression problem. The independent variable is the core element that drives or explains the behavior of the dependent variable.

What type of machine learning problem deals with predicting a continuous value, such as the number of ice cream cones sold based on temperature?

Artificial Intelligence Explained

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The topic of regression is central to supervised machine learning, distinguishing problems that seek to predict a numerical quantity from those that seek to predict a category.

The core definition you are reviewing is accurate: the problem type that deals with predicting a continuous value, such as the number of ice cream cones sold based on temperature, is a regression problem.

How does linear regression represent the relationship between two continuous variables?

Artificial Intelligence Explained

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The flashcard accurately summarizes the core principle of Simple Linear Regression, which is a fundamental technique within supervised machine learning. Linear regression is primarily used to predict a value from a continuous set and is defined as a technique for finding the relationship between two or more variables.

In essence, a simple linear regression model plots this relationship by finding the best-fitting straight line, represented by the algebraic form $y = mx + c$

What type of machine learning problem involves assigning data to a specific category, such as 'yes' or 'no'?

Artificial Intelligence Explained

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A classification problem is a type of supervised machine learning where the primary task is to assign data to a specific category. This approach is used to determine to which class a particular variable or data belongs

While linear regression uses a straight line for prediction, logistic regression uses an _____ to make predictions.

Artificial Intelligence Explained

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The flashcard accurately highlights the primary distinction in the predictive output visualizations of these two models. While linear regression uses a straight line for prediction, logistic regression makes predictions by drawing an S-curve.

What Python library is commonly used in machine learning for handling large data arrays and is faster than normal lists?

Artificial Intelligence Explained

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The flashcard accurately identifies the NumPy library as a fundamental tool in Python for handling large data arrays efficiently, particularly within machine learning contexts.

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