Eigenvector : An eigenvector is a vector that, when multiplied by a matrix, results in a scalar multiple of the original vector. This concept is used in many fields, including physics, engineering, and computer science. One example of an eigenvector is a vector that has a direction that is parallel to one of the axes […]

Efficiency : Efficiency is a measure of how well a system, process, or machine uses resources, such as time and energy, to produce a desired output. In other words, it is a measure of how well something is able to achieve its intended purpose with a minimum amount of waste or effort. There are many […]

Effect Sparcity : Sparcity refers to the lack of data or information in a particular domain or area of study. In industrial experimentation, sparcity can present a number of challenges and limitations. One example of sparcity in industrial experimentation is when there is a lack of data on a particular product or process. For instance, […]

Effect : Effect is the result or outcome of a particular action, event, or situation. It can be seen as the change or impact that something has on a person, object, or situation. One example of effect can be seen in the field of psychology. When a person experiences a traumatic event, such as a […]

EDA : Exploratory data analysis (EDA) is a method of analyzing and understanding data sets to gain insights and identify patterns. It is an important step in the data science process and involves visualizing and summarizing data to uncover trends and relationships. One example of EDA is using histograms to understand the distribution of a […]

Econometrics : Econometrics is the application of statistical methods to economic data in order to give empirical content to economic relationships. In other words, it is the use of mathematical and statistical techniques to analyze economic data in order to test hypotheses and forecast future trends. One example of econometrics in action is the use […]

Ecological Fallacy : The ecological fallacy refers to the tendency to make incorrect inferences about individuals based on aggregate data. This occurs when individuals within a group are not homogeneous and therefore cannot be accurately represented by group-level data. One example of the ecological fallacy is using crime rates at the city level to make […]

Eberhardt’s Statistic : Eberhardt’s statistic is a measure of the effectiveness of a classification model, specifically a binary classification model (a model that assigns data points to one of two classes). The statistic is calculated by dividing the difference between the true positive rate (TPR) and the false positive rate (FPR) by the true positive […]