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Uncertainty - Coggle Diagram
Uncertainty
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Uncertainty: Means the epistemic situations which involves information which are unknown and not correct
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Andrey Markov: He was a mathematician in Russia. did many work and renowed for his stochastic processes
Markov Chain: This is a stochastic models which describes about the sequence of the possible events which the event depends on the sate of the last event probability.
Examples: Snakes and Ladders, Ranking of web page and Traffic flow prediction
Applications: NLP Algorithm, Finance and the Brownian Motion
Hidden Markov Model: Used to describe the calculation of the observe events which rely on the internal factors that are not directly observed.
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Stochastic process: Also known as the random events. This is a collection of the random variables which are indexed by the set of mathematics
Brownian Motion: A model of Gaussian processes which is of continous martingles and process of Markov
Bernoulli Process: binary random variable with finite/infinite sequence. therefore considered as the stochastic process which picks only 2 values
Random walk: the process where the probable location of a random motion same at each step of moving some distance and some direction
Rational Decision: This is process in which a decision is made using a step of rules and processes and the best solution is choose
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Decision theory: set of quantitative methods used to research the optimal options in statistics. must be formulated in start conditions and choices/courses of action along the consequences.
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Probability Theory: a category of mathematics which is connected with the analysis of random phenomena. the result of a random event can not be controlled before it occurs
Chaos Theory: This is an interdisciplinary science theory and a branch of mathematics which is focused on underlying patterns and deterministic laws of dynamical systems