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Exercise 13: Full spam filter
Given in the tutorial that "The posterior odds after one word, which you calculated in the previous exercise, will become the prior odds for the next word, and so on." this statements was mentioned above this exercise by which I calculated for each word posterior odds and taken…
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Chapter 3 exercise 9. Odds and probability.
Maybe there's a system error during processing of results. For the first three items, learners must express odds as natural frequencies, while for the last three items learners must express odds as percentages. The items number 3 and 6 are the following: 23:242. But after…
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Exercise 13 error in answer?
If I take 1:1 x 5.1 x 0.8 x 53.2 x 0.3. I get 54.0 (54:1)and not 65.1 as shown in the answer. What am I doing wrongly? 1 x 5.1xxx = 5.1 5.1 x 0.8xx = 4.0 …
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Exercise 12 & 13 conclusion help
1.For one word spam filter: posterior odds = prior odds ×(likelihood ratio of one word) 2.For full spam filter: …
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Chapter I.Philosophy of AI
My personal answers & considerations: • AI isn't "cool things that computers can't do" because AI is just a computer with a more sophisticated sum of algorithms inside • AI is a machines that imitate intelligent human behavior but there are several possible definitions of…
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Exercise 11: Bayes rule (part 2 of 2)
Can anyone help me undestand this? "Let’s assume that 5 in 100 women have breast cancer", so the prior odds are 5/100 I believe. The likelihood ratio is 8, so now I multiply he prior odds by the likelihood ratio, 8 x 5/100 = 40/100. …
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Exercise 13:
It is really really confusing and I am sure I will feel a lot more surer if a little more explanation is provided. The intuition behind the changing odds is kind of confusing.
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Exercise 11: How is probability of positive result in case of no cancer 10/100?
I am pulling my hair on trying to understand if 80/100 is the probability of +ve result in case of cancer, shouldn't 20/100 be for +ve result in case of no cancer??
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