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Welcome to the largest Artificial Intelligence Terms and Definitions in the web! Our dictionary extends its scope day by day. Enjoy!

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Human Values

Human Values in Data Science refers to the ethical considerations and principles that guide the collection, analysis, interpretation, and presentation of data. It emphasizes the importance of respecting human rights, privacy, and dignity in all data science activities. This concept is crucial in the... Read More >>

Ethical AI Design

Ethical AI Design refers to the practice of creating artificial intelligence (AI) systems that adhere to ethical principles and values. It involves the consideration of moral implications and potential societal impacts during the design and implementation of AI systems. This includes ensuring that A... Read More >>

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Logistic Function

In the context of Data Science, a Logistic Function, also known as the logistic sigmoid function, is a mathematical function used in various forms of logistic regression models. It is an essential component in the field of machine learning, particularly in the development of binary classification mo... Read More >>

Weak AI

Weak Artificial Intelligence (AI), also known as Narrow AI, refers to a system designed to perform a specific task, such as voice recognition or driving a car. These systems operate under a limited set of constraints and are focused on performing single tasks very efficiently. Unlike Strong AI, Weak... Read More >>

Value Alignment

In the context of Data Science and Artificial Intelligence, Value Alignment refers to the process of ensuring that an AI system's behaviors and decisions are in line with the values, ethics, and objectives of its human users or creators. This is a critical aspect of AI safety and ethical AI design. ... Read More >>

Today's Picks


Radial Basis Function

Radial Basis Function (RBF) is a mathematical function that maps input data to a higher dimensional space, allowing for non-linear classification and regression. In machine learning, RBF is commonly used as a kernel function in support vector machines (SVMs) and as a basis function in neural network... Read More >>

Missing Data

Missing data refers to the absence of values in a dataset. This can occur due to various reasons such as data entry errors, equipment malfunction, or survey non-response. Missing data can have a significant impact on the analysis and interpretation of data, as it can lead to biased or inaccurate res... Read More >>

Statistical Tools

Statistical tools refer to a set of techniques and methods used to analyze and interpret data in order to make informed decisions. These tools are used to identify patterns, relationships, and trends in data, and to draw conclusions based on statistical inference. Statistical tools include descripti... Read More >>

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