728x90 반응형 Coursera72 Probability & Statistics for Machine Learning & Data Science (10) ▤ 목차Describing probability distributions and probability distributions with multiple variablesThis week you will learn about different measures to describe probability distributions and any dataset. These include measures of central tendency (mean, median, and mode), variance, skewness, and kurtosis. The concept of the expected value of a random variable is introduced to help you understand each.. 2024. 9. 19. Probability & Statistics for Machine Learning & Data Science (9) ▤ 목차Introduction to Probability and Probability DistributionsCheck your knowledgeQ1When throwing a dice twice, what is the probability of getting exactly two 5's? (What is Probability?, What is Probability? - Dice example)Answer더보기1/36 = 1/6 * 1/6Q2When throwing five dice and summing the result, what is the probability of obtaining a value greater than 5? (Complement of Probability)Answer더보기$({5.. 2024. 9. 16. Probability & Statistics for Machine Learning & Data Science (8) ▤ 목차Introduction to Probability and Probability DistributionsProbability DistributionsUniform DistributionUniform distribution has all possible values in an interval with the same frequency of occurrence.All intervals have the same probability.It has two parameters:a: beginning of an intervalb: end of the intervalNormal DistributionNormal distribution (aka Gaussian distribution) is a distributio.. 2024. 9. 15. Probability & Statistics for Machine Learning & Data Science (7) ▤ 목차Introduction to Probability and Probability DistributionsProbability DistributionsProbability Distributions (Continuous)In the discrete distributions, the events always form a list of elements.In the continuous distributions, the events are an interval.What is the probability that you will wait exactly one minute for the call?더보기0Correct. Too many values for the amount of time a call can tak.. 2024. 9. 9. Probability & Statistics for Machine Learning & Data Science (6) ▤ 목차Introduction to Probability and Probability DistributionsProbability DistributionsRandom VariablesRandom variables are the variables that can make many numbers.With the coin example, $X$ can take either 1 or 0, not just a single number.Which of the following are examples of discrete random variables? Select all that apply.Selecting a card from a deckDrawing a marble from a bag of colored mar.. 2024. 9. 8. Probability & Statistics for Machine Learning & Data Science (5) ▤ 목차Introduction to Probability and Probability DistributionsQuizQ1You flip a fair coin two times. What is the probability of getting one head and one tail in any order?1/41/23/4Answer더보기2There are 4 possible outcomes (HH, HT, TH, or TT) when flipping a coin two times and there are two ways of getting one head and one tail, so the probability is 2/4 = 1/2Q2You throw two dice and sum the result, .. 2024. 9. 7. 이전 1 ··· 3 4 5 6 7 8 9 ··· 12 다음 728x90 반응형
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