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Probability (Theory (Stochastic process and Markov Chain (States, Model,…
Probability
Theory
Independent and multiplication rule
Summary of rule
Additional theory
Discrete and continuous Random
Variables
Discrete Probability Distributions
Continuous Probability Distributions
Stochastic process and Markov Chain
States
Model
Action
Reward
Policy
Optimal policy
chances
Conditional
Even Change
Likely
Unlikely
impossible
Certain
Independent event
with replacement
Chance doesn't change
Dependent event
with replacement
Chance doesn change
Introduction
Define
study of randomness and uncertainty
History
Keyword
Sample space
Event
Equally likely event
mutually exclusive event
Outcomes
Trial
Expirement
Permutation and Combination
Permutation
Order doesn't matter
Permutation of subset
No Repetition
Permutation of object
Repetition allowed
Combination
Order matter
No Repetition
Combination of subset
Repetition allowed
Combination of object