An objective function (in machine learning) is a mathematical formula used to calculate the relative merit of each possible solution to a problem. The objective function takes into account the inputs and outputs of a problem, as well as any constraints that may exist. It then calculates a score for each possible solution in order to help identify the best option.
Definition of Independent Variable An independent variable is a variable that is manipulated by the experimenter in a scientific study. It is typically one factor that is changed while all other factors are kept constant. What is an Independent Variable used for? An independent variable is a type of variable used in statistical models and…
Active Learning is a type of machine learning where the algorithm actively chooses which data points to use in order to learn from.
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.
Definition of Evaluation Evaluation: Evaluation is the process of assessing how well a model or system is performing, typically by measuring its accuracy, precision, recall, or some other performance metric. Evaluation is an important part of the data science process, as it allows you to determine whether your models are meeting your expectations and helping…
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…
Definition of Ensembling Ensembling: Ensembling is a technique used in machine learning that consists of combining the predictions of multiple models in order to improve the accuracy of the predictions. What is Ensembling used for? Ensembling is a technique in data science and machine learning in which multiple prediction models are combined to produce a…