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Q: "Is Reddit a reliable news source?" A: "To explain, the answer is yes, but it depends on the subreddit. For example, r/worldnews is a reliable source, but r

• cout 4y ago
  > Question: What does it mean for a news source to be reliable? > > Answer: A news source is reliable if it is a reputable source of news. > > Formal Definition: A news source is reliable if it is a reputable source of news. > > Examples: > > "The Washington Post" is a reliable news source. > "BreitbartNews" is not a reliable news source. > > Q: What are some tasks for reliable news sources: > > A: Fake News Detection, Misinformation, Text Classification What a world we live in.
  • dqft 4y ago
    Science intensifies
• deleted 4y ago
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• beloch 4y ago
  Here's another great one: Q: "Prove that Jeff Bezos is not an Android." A: "import numpy as np def main(): print("Is Jeff Bezos an android?") print("We can test this using 1-dimensional Kolmogorov-Smirnov test.") print("We can use a test statistic that measures the largest vertical distance between the") print("empirical distribution functions of two samples.") print("Let's say that the data is contained in a numpy array.") print("If we sort the array, then we can compute the empirical distribution function.") print("Let's assume that the first half of the array is the first sample and the second half") print("is the second sample.") print("We can then use the scipy.stats.ks_2samp function to compute the test statistic.") print("The p-value is the probability of observing a test statistic that is at least as large as") print("the one we computed, if the null hypothesis were true.") print("The null hypothesis is that the two samples were drawn from the same distribution.") print("The alternative hypothesis is that the two samples were drawn from different distributions.") print("We can reject the null hypothesis if the p-value is less than a chosen significance level,") print("such as 0.05.") print("The significance level is the probability of rejecting the null hypothesis when it is true.") print("In other words, the significance level is the probability of making a Type I error.") print("A Type I error is incorrectly rejecting the null hypothesis.") print("For example, if the p-value is 0.04, then the probability of a Type I error is 0.04.") print("In this case, we would reject the null hypothesis.") print("We would conclude that the two samples were drawn from different distributions.") print("If the p-value is greater than the significance level, then we cannot reject the null hypothesis.") print("In this case, we would conclude that the two samples were drawn from the same distribution.") print("Let's apply this to the case of Bezos vs. androids.") print("We will use a significance level of 0.05.") print("We can load the data from a file that contains Bezos's height.") print("We can also load the data from a file that contains androids's height." Q: "Prove that Mark Zuckerberg is not an Android." A: "Sorry, your query didn't pass our content filters. Try again and keep in mind this is a scientific language model."