Prob/Stats Easy text on conditional probability and Bayes theory

AI Thread Summary
The discussion centers around the challenges faced in teaching a machine learning course to students with limited understanding of foundational concepts like conditional probability and Bayes' rule. The instructor reports that many students struggle with the material, particularly after a lecture on the Naive Bayes classification method. In response, suggestions for accessible resources are requested, including easy-to-understand texts and potentially video materials. One participant shares a link to a MIT resource aimed at simplifying these concepts, while another expresses skepticism about the effectiveness of overly simplified materials, hinting at a need for a balance between accessibility and depth in teaching. Overall, the conversation highlights the importance of foundational knowledge in machine learning and the need for appropriate educational resources.
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)
 
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Thank you very much. It is very much appreciated. I hope it helps them.
 

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