Samples
Definition of Samples
Samples: Samples are a subset of the data that is used to train a machine learning model. The goal is to choose a dataset that will produce the best results on the test dataset.
Samples: Samples are a subset of the data that is used to train a machine learning model. The goal is to choose a dataset that will produce the best results on the test dataset.
Definition of Machine Learning Model A machine learning model is a representation of the data that is learned by a machine learning algorithm. The model can be used to predict the outcomes of future events, based on the data that is used to train the model. How is Machine Learning Model used? A Machine Learning…
The Chi-square Test is a statistical hypothesis test used to determine the significance of the difference between the observed and expected values of a given data set. The chi-square statistic is used to …
Definition of Joint Distribution Joint Distribution: A joint distribution is a way of representing the probability of two or more events occurring simultaneously. What is Joint Distribution used for? Joint Distribution is a statistical tool used to analyze the relationship between two or more random variables. It measures how one variable affects another in a…
Definition of Labeling Labeling: Labelling is the process of attaching a label, or name, to a particular instance of data. This can be done manually, or through automated means. Labels can be used to help identify and group data, as well as to track changes over time. How is Labeling used? Labeling is an important…
Definition of Parametric Parametric: Parametric models are a type of statistical model that rely on mathematical formulas to describe the relationship between the input and output variables. These models can be used to predict future values for the output variable based on past values of the input variable.
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…