728x90 반응형 Coursera72 Probability & Statistics for Machine Learning & Data Science (22) ▤ 목차Confidence Intervals and Hypothesis testingConfidence IntervalsDifference Between Confidence and ProbabilityConfidence used here is not a probability.The population mean is unknown and fixed, not a random value.Confidence level is the rate of success vs failure when constructing the confidence interval.Unknown Standard DeviationWhen we know the population standard deviation, we can generate .. 2024. 10. 27. Probability & Statistics for Machine Learning & Data Science (21) ▤ 목차Confidence Intervals and Hypothesis testingThis week you will learn another estimation method called interval estimation. The most common interval estimates are confidence intervals; you will see how they are calculated and how to interpret them correctly. In lesson 2, you will learn about hypothesis testing where estimates are formulated as a hypothesis and then tested in the presence of av.. 2024. 10. 24. Probability & Statistics for Machine Learning & Data Science (20) ▤ 목차Sampling and Point estimationPoint EstimationBack to "Bayesics”Although an event could generate the highest probability (maximum likelihood), if the event itself is unlikely, we wouldn’t choose it.So conditional probability solely is not something we want to maximize, instead, we want to maximize the probability of two events happening at the same time, which is $P(A \cap B) = P(A|B)P(B)$ an.. 2024. 10. 23. Probability & Statistics for Machine Learning & Data Science (19) ▤ 목차Sampling and Point estimationPoint EstimationPoint EstimationThe most common point estimation method is maximum likelihood estimation (MLE), which is very popular in machine learning.MLE can be generalized using Bayes’ theorem to a Bayesian version of a point estimator called the maximum a posteriori estimation.MAP or maximum a posteriori estimation can be thought of as a maximum likelihood .. 2024. 10. 22. Probability & Statistics for Machine Learning & Data Science (18) ▤ 목차Sampling and Point estimationQuizQ1Consider the following population, P, where P = {1, 1, 3, 5, 10}And the following sample, S, where S = {1, 3}What is the value of the sample mean?26It cannot be computed with the given information4Answer더보기1The sample mean should be calculated from the sample set’s numbers only. Therefore, the sample mean is (1+3)/2 = 2Q2What is the difference between a sam.. 2024. 10. 21. Probability & Statistics for Machine Learning & Data Science (17) ▤ 목차Sampling and Point estimationThis week shifts its focus from probability to statistics. You will start by learning the concept of a sample and a population and two fundamental results from statistics concerning samples and populations: the law of large numbers and the central limit theorem. In lesson 2, you will learn the first and the simplest method of estimation in statistics: point estim.. 2024. 10. 20. 이전 1 2 3 4 5 6 7 ··· 12 다음 728x90 반응형
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