728x90 반응형 Statistics26 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. Probability & Statistics for Machine Learning & Data Science (16) ▤ 목차Describing probability distributions and probability distributions with multiple variablesProbability Distributions with Multiple VariablesCovariance of a DatasetTo capture the relation between variables using covariance and correlation. How might you compare the relationship between a child's age (X) and other variables such as height (Y1), test grades (Y2), and number of naps per day(Y3)?더.. 2024. 10. 9. Probability & Statistics for Machine Learning & Data Science (15) ▤ 목차Describing probability distributions and probability distributions with multiple variablesProbability Distributions with Multiple VariablesJoint Distribution (Discrete) - Part 1Here we have two histograms of children’s age and height (two variables).Given the following dataset, what is the probability that a child is 9 years old and 49 inches tall?더보기0.3Getting the count and probabilities in.. 2024. 9. 28. Probability & Statistics for Machine Learning & Data Science (14) ▤ 목차Describing probability distributions and probability distributions with multiple variablesQuizQ1Consider the four sets of samples above. Which one has the smallest variance?$$ \begin{array}{c|cccc}\hline \text { Set } & \text { Values } & & & \\ \hline 1 & 1 & 5 & 7 & 9 \\2 & -20 & -10 & 0 & 10 \\3 & 100 & 101 & 102 & 103 \\4 & -10 & -5 & 0 & -5 \\\hline\end{array} $$1234Answer더보기3The varian.. 2024. 9. 27. 이전 1 2 3 4 5 다음 728x90 반응형
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