Definition of Temporary table Temporary table: A temporary table is a table that exists for the duration of a session. Temporary tables are useful for storing intermediate results, or for querying data that is too large to fit in memory.
Definition of Support Vector Machines Support Vector Machines: A support vector machine (SVM) is a computer algorithm that is used to learn and predict patterns of behavior. SVM algorithms are used to create models that can be used to predict outcomes, or to classify data into discrete categories. It works by constructing a kernel matrix…
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…
Definition of Streaming Data Streaming data: Streaming data is a type of data that is continuously updated. It can be used to track real-time changes in data, such as stock prices or website traffic.
Definition of Statistics Statistics: Statistics is the practice of collecting, analyzing, and drawing conclusions from data.
Definition of Standard Error Of The Mean Standard error of the mean: The standard error of the mean (SEM) is a measure of the standard deviation of the sample mean. It is used to estimate the standard deviation of a population from a sample.
Definition of Standard Deviation Standard Deviation: Standard deviation is a measure of how spread out a set of data points are. It is calculated by taking the average of the distances of each data point from the mean, and then squaring them. This gives us a measure of how far each data point is from…
Definition of S-sampling S-sampling: S-sampling is the process of drawing a random sample from a population.
Definition of Spearman’s Rank Correlation Coefficient Spearman’s Rank Correlation Coefficient: Spearman’s Rank Correlation Coefficient is a measure of the strength of a linear relationship between two sets of data. It is calculated by taking the sum of the products of the ranks of corresponding values in each data set, divided by the product of the…