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 Machine Learning:
- Meaning driven algorithms that perform better as they have more data to work with, “learning” (that is, refining their models) from this additional data. This often involves cross-validation with training 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 Mean:
- Meaning The average value, although technically that is known as the “arithmetic mean.” (Other means include the geometric and harmonic means.) See also median, mode markov chain what is.
- Manual Mean Squared Error:
- Meaning average of the squares of all the errors found when comparing predicted values with observed values. Squaring them makes the bigger errors count for more, making Mean Squared Error more popular than markov chain meaning.
- Manual MATLAB:
- Meaning A commercial computer language and environment popular for visualization and algorithm development markov chain abbreviation.
