Easy text on conditional probability and Bayes theory

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SUMMARY

This discussion focuses on the challenges faced by students in understanding conditional probability and Bayes' theorem within a machine learning course. The instructor seeks accessible resources to aid comprehension, particularly after a lecture on the Naive Bayes classification method, which left many students confused. A suggested resource is a PDF from MIT that simplifies these concepts, aimed at providing foundational knowledge for those struggling with the material.

PREREQUISITES
  • Understanding of basic probability concepts
  • Familiarity with machine learning terminology
  • Knowledge of the Naive Bayes classification method
  • Basic mathematical skills for interpreting probability equations
NEXT STEPS
  • Research "conditional probability basics" for foundational understanding
  • Explore "Bayes' theorem applications" to see practical uses
  • Study "Naive Bayes classification" in detail for machine learning context
  • Review the MIT PDF resource on conditional probabilities for simplified explanations
USEFUL FOR

This discussion is beneficial for educators, machine learning instructors, and students seeking to strengthen their grasp of conditional probability and Bayes' theorem for practical applications in data science and machine learning.

wmac
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Hi,

I am teaching a machine learning course and the students have very poor knowledge about conditional probability, Bayes rule etc. Most students have done their undergraduates years ago and I guess their educational background has not been that good. Last lecture was on Naive Bayes classification method and some students were complaining that they understand almost nothing!

Could you please suggest some "really easy" text on conditional probabilities, Bayes rule etc.

Thanks.
 
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Greetings,
Not so sure if going easy is what helps most...
Anyways I hope http://web.mit.edu/jorloff/www/18.05/pdf/class3-prep.pdf.
Semi-dummies Guide no offense.
Literally for dummies.
Do you want a video?! My god...Don't be so Science loving and give nothing in return..I would appreciate liking what I gather up for you, thanks. (not begging just being scientifically greedy)

 
Last edited:
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Thank you very much. It is very much appreciated. I hope it helps them.
 

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