The Poisson distribution is a discrete probability distribution that models the number of events that occur in a given time interval. The Poisson distribution is often used to model the number of clicks on a website, the number of phone calls received, or the number of emails sent in a given time period.
Definition of Kolmogorov-Smirnov Statistic Kolmogorov-Smirnov Statistic: The Kolmogorov-Smirnov statistic is a measure of the difference between two distributions. It is used to determine whether the two distributions are statistically different from each other. How is Kolmogorov-Smirnov Statistic used? The Kolmogorov-Smirnov Statistic (K-S Test) is a nonparametric test used to compare the distributions of two samples….
Definition of Data Mining Data Mining: Data mining is the process of extracting valuable information from large data sets. This information can be used to make decisions about business operations, product development, and other strategic initiatives. Data mining involves using sophisticated algorithms to identify patterns and trends in data. What is Data Mining used for?…
Definition of False Positive False Positive: False positive is a result that incorrectly identifies an event as being positive. What are False Positive used? False Positive is a term used in data science and machine learning that refers to an incorrect classification of an item as being positive when, in reality, it is negative. It…
Definition of Objective Function 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…
Active Learning is a type of machine learning where the algorithm actively chooses which data points to use in order to learn from.