Sampling
Definition of Sampling
Sampling: Sampling is the process of selecting a subset of a population for study. This can be done randomly or using some other method such as stratified sampling.
Similar Posts
Labeling
ByDavis
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…
Population
ByDavis
Definition of Population Population: A population is the complete set of all individuals or items under consideration. In statistics, a population is often described by its parameters, such as its mean and standard deviation. The population can also simply be defined as the entire set of items or cases to be studied.
Kurtosis
ByDavis
Definition of Kurtosis Kurtosis: A measure of the peakedness or flatness of a distribution, Kurtosis is determined by calculating the fourth moment of the distribution about its mean. Distributions with high kurtosis are more peaked than those with low kurtosis, while distributions with low kurtosis are more spread out. How is Kurtosis used? Kurtosis is…
Upstream
ByDavis
Definition of Upstream Upstream: Upstream and Downstream are terms used in data science to describe the flow of data or what order events occur. Data is processed and becomes more refined as it moves through the various processes. Upstream is closer to the source. When discussing a specific process step, Downstream is a term that…
Supervised Learning
ByDavis
Definition of Supervised Learning Supervised Learning: Supervised learning is a type of machine learning algorithm where the computer system is provided with a set of training data, and the task is to learn how to predict the correct output values for new data. The algorithm is “supervised” because each answer it provides is validated by…
Normalization
ByDavis
Definition of Normalization Normalization: Normalization is the process of standardizing data so that it has a consistent meaning across different data sets. This can be done by ensuring that all values in a data set are within a certain range, or by converting all data to a single numerical representation. Normalization can make it easier…