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Python

Definition of Python

Python is a high-level programming language with strong support for data science and machine learning. It has a wide variety of libraries for data analysis, machine learning, and scientific computing.

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Null Hypothesis

ByDavis

Definition of Null Hypothesis The null hypothesis is a statement that is presumed to be true until evidence is presented to suggest otherwise. In statistics, the null hypothesis is typically contrasted with the alternative hypothesis, which is the statement that is posited if the null hypothesis is found to be false. The null hypothesis is…

AngularJS
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AngularJS

ByDavis

Definition of AngularJS AngularJS is a JavaScript framework for building web applications. It lets you use HTML as your template language, and extends the HTML vocabulary to provide directives for defining your application’s user interface. It also provides a model–view–controller (MVC) framework that helps you structure and manage your application code. What is AngularJS used…

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Database Administrator

ByDavis

Definition of Database Administrator Database Administrator: A database administrator (DBA) is a professional who is responsible for the design, creation, installation, monitoring and maintenance of a database. DBAs are also responsible for ensuring that the database is available to users and that data is accurate and secure. What does a Database Administrator do? A Database…

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Universality

ByDavis

Definition of Universality Universality: Universality is the property of being applicable to a class of objects or phenomena. In data science, this means that a model or algorithm can be used to solve a problem for a wide range of data sets. This makes universality an important property for any data science toolkit.

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Expectation Maximization

ByDavis

Definition of Expectation Maximization Expectation Maximization: Expectation Maximization (EM): A statistical algorithm used to find the maximum likelihood estimate of a parameter in a probabilistic model. EM iteratively maximizes the expected likelihood of the data under the model, by adjusting the model’s parameters. What is Expectation Maximization used for? Expectation Maximization (EM) is a statistical…

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K-Nearest Neighbors

ByDavis

Definition of K-Nearest Neighbors K-Nearest Neighbors (KNN) is a machine learning algorithm used to predict the output value of a target variable by finding the k nearest neighbors of a given input value. The algorithm assigns a weight to each neighbor, then uses a weighted average to predict the output value for the target variable….

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