Over the next few days, I will be reviewing all the probability concepts below that is required to study graphical models. This is not a complete list but I think it will be a good starting point. I still haven’t find a good way to display mathematical equations on WordPress or should I say I haven’t got the time to find ways or actually it’s just not a high enough of a priority for me to devote my time to LOL. I will figure it out eventually!

Elements of probability

  • Conditional probability
  • Chain rule
  • Independence

Random variables

  • Cumulative distribution functions
  • Probability mass functions
  • Probability density functions
  • Expectation
  • Variance
  • Some common random variables

Two random variables

  • Joint and marginal distributions
  • Joint and marginal probability mass functions
  • Joint and marginal probability density functions
  • Conditional distributions
  • Chain rule
  • Bayes’ rule
  • Independence
  • Expectation and covariance


Data Scientist

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