Open Source
Definition of Open Source
Open Source: Open source refers to software for which the original source code is made freely available and may be redistributed and modified.
Similar Posts
Frequentist
ByDavis
Definition of Frequentist Frequentist: A Frequentist is someone who believes that the only valid methods of statistics are those that rely on the law of large numbers, and the principle of population stabilization. What do Frequentist do? Frequentists are data scientists and machine learning specialists who use frequentist statistical methods for their work. Frequentist methods…
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…
Dependent Variable
ByDavis
Definition of Dependent Variable A dependent variable (also called the response variable) is a variable whose value is determined by the value of one or more other variables (the independent variables). The dependent variable is usually the focus of a data analysis, since it is the quantity that is being measured or estimated. What is…
Function
ByDavis
Definition of Function Function: A function is a set of instructions that tells a computer what to do. Functions can be used to calculate things, or to make decisions. What are Functions used for? Functions are a key component in the programming language of data science and machine learning. A function is a block of…
NoSQL
ByDavis
Definition of NoSQL NoSQL is a type of database that does not conform to the traditional model of a relational database. It is schema-less, which means that you don’t have to predefine the fields and structure of your data when you add it to the database. This makes it easy to change and adapt as…
Kernel Regression
ByDavis
Definition of Kernel Regression Kernel Regression: Kernel regression is a type of nonlinear regression that uses a kernel function to calculate the weight of each input data point. This type of regression is often used for time series data, where the input points are close together in time. How is Kernel Regression used? Kernel Regression…