Day 8 - Bayes Theorem

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      By Jerin Lalichan 


Bayes Theorem

    Baye's theorem is an important theorem in statistics and probability which gives the probability of occurrence of an event that is biased by another event that has already occurred

    In simple words, it determines the conditional probability of event A, given that event B has already occurred.






Difference between Conditional probability and Bayes Theorem


    Conditional probability: 

        Conditional Probability is the probability of an event A that is based on the occurrence of another event B.




    
    Bayes Theorem:

    Bayes's Theorem is derived using the definition of conditional probability. Baye's theorem formula includes two conditional probabilities.





   
  I am doing a challenge - #66DaysofData  in which I will be learning something new from the Data Science field for 66 days, and I will be posting daily topics on my LinkedIn, On my GitHub repository, and on my blog as well.


Stay Curious!  





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