Confabulation is a phenomenon in which people fill in gaps in their memories with false or fabricated information. This can happen in both healthy people and those with memory impairments, such as Alzheimer’s disease. There are several theories about why confabulation occurs. One theory is that the brain fills in gaps in memory with information … Read more
Data democratization is the process of making data accessible to everyone in an organization, regardless of their technical expertise or job role. It is a key part of a data-driven culture, where everyone is empowered to make data-informed decisions. Organizations that practice data democratization typically have centralized data platforms that are easy to use and … Read more
A normal distribution is a type of probability distribution that is symmetrical around the mean, with a bell-shaped curve. Normal distributions are important in statistics and are often used to model data. Many real-world phenomena, such as IQ scores, height, weight, and blood pressure, follow a normal distribution. What is normal distributions with examples? A … Read more
Intelligence, also known as “intel,” refers to the process of gathering and analyzing data in order to make informed decisions. This can be done either manually or through the use of automated systems. Intelligence gathering can be used for a variety of purposes, such as understanding the competition, developing marketing strategies, or detecting and preventing … Read more
Pseudoscience is a term used to describe a claim, belief, or practice that masquerades as science in an attempt to gain legitimacy, but which fails to meet the rigorous standards of the scientific method. Pseudoscience is often characterized by the use of dubious scientific concepts, the over-reliance on confirmation bias, and a lack of transparency. … Read more
A data science platform is a software application or set of tools that enables data scientists to develop, test, and deploy data-driven solutions. It includes a variety of tools and technologies for data collection, warehousing, analysis, and visualization. A data science platform may also provide access to cloud-based resources for data processing and storage. Which … Read more
A Likert scale is a type of rating scale that allows respondents to indicate their level of agreement or disagreement with a statement. The scale is named after its inventor, psychologist Rensis Likert, who developed it in 1932. Likert scales are commonly used in market research and opinion polls, as they allow for more nuanced … Read more
The serial position effect is a phenomenon that occurs when people are asked to recall a list of items. The items at the beginning of the list (the “primacy effect”) are typically recalled better than items in the middle of the list (the “recency effect”). The serial position effect is thought to be due to … Read more
The term “Single source of truth (SSOT)” refers to the practice of storing data in a single central location. This central location can be either a physical location or a digital repository. The main advantage of using a SSOT is that it allows for easier data management and ensures that all users are working with … Read more
Descriptive modeling is a type of statistical modeling that is used to describe the relationships between variables in a dataset. Descriptive models are typically used to summarize data or to predict future values. What is descriptive modeling in data mining? Descriptive modeling in data mining is the process of creating models that describe data. This … Read more
