Explain MARKOV CHAIN: An algorithm for working with a series of events (for example, a system being in particular states) to predict the possibility of a certain event based on which other events have happened. The identification of probabilistic relationships between the different events means that Markov Chains and Bayesian networks often come up in the same discussions. See also Bayesian network, Monte Carlo method.
Different definitions in web development like Markov Chain in Dictionary M.
- Manual Monte Carlo Method:
- Meaning of randomly generated numbers as part of an algorithm. Its use with Markov Chains is so popular that people usually refer to the combination with the acronym MCMC. See also Markov Chain markov chain definition.
- Manual Median:
- Meaning When values are sorted, the value in the middle, or the average of the two in the middle if there are an even number of values. See also mean, mode markov chain explain.
- Manual MATLAB:
- Meaning A commercial computer language and environment popular for visualization and algorithm development markov chain what is.
- Manual Moving Average:
- Meaning average) of time series data (observations equally spaced in time, such as per hour or per day) from several consecutive periods is called the moving average. It is called moving because the average markov chain meaning.
- Manual Mode:
- Meaning occurs most often in a sample of data. Like the median, the mode cannot be directly calculated”[stanton] although it’s easy enough to find with a little scripting. For people who work with statistics markov chain abbreviation.
