Explain PREDICTIVE ANALYTICS: The analysis of data to predict future events, typically to aid in business planning. This incorporates predictive modeling and other techniques. Machine learning might be considered a set of algorithms to help implement predictive analytics. The more business-oriented spin of “predictive analytics” makes it a popular buzz phrase in marketing literature. See also predictive modeling, machine learning, SPSS.
Different definitions in web development like predictive analytics in Dictionary P.
- Manual Poisson Distribution:
- Meaning independent events, usually over a period of time or space, used to help predict the probability of an event. Like the binomial distribution, this is a discrete distribution. Named for early 19th predictive analytics definition.
- Manual Principal Component Analysis:
- Meaning simply looks at the direction with the most variance and then determines that as the first principal component. This is very similar to how regression works in that it determines the best direction predictive analytics explain.
- Manual Prior Distribution:
- Meaning inference, we assume that the unknown quantity to be estimated has many plausible values modeled by what's called a prior distribution. Bayesian inference is then using data (that is considered predictive analytics what is.
- Manual Perl:
- Meaning An older scripting language with roots in pre-Linux UNIX systems. Perl has always been popular for text processing, especially data cleanup and enhancement tasks. See also scripting, data wrangling predictive analytics meaning.
- Manual Predictive Modeling:
- Meaning The development of statistical models to predict future events. See also predictive analytics, model predictive analytics abbreviation.
