What is the translation of " PROBABILITY " in English? S

Examples of using Probability in Chinese and their translations into English

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ProbabilityTheory统计论.
Probability Theory in Statistics.
Posteriorprobability是什么意思.
What is the posterior probability.
ProbabilityTheory统计论.
Probability probability-theory statistics.
CEP圆误差概率(circularerrorprobability).
Their CEP Circular Error of Probability.
Probabilitysample是什么意思.
What is the probability that the sample mean.
所有的Probability加起来一定要等于100%。
The sum of all three probabilities must equal 100%.
ProbabilityTheory统计论.
Probability probability-theory statistical-inference.
所有的Probability加起来一定要等于100%。
All of the probabilities, of course, must add up to 100%.
Probability与伽玛分布相关的概率。
Probability is the probability associated with the gamma distribution.
概率质量函数(probabilitymassfunction,PMF).
Probability(probability mass function, pmf).
Jointprobability是什么意思?
What do I mean by joint probabilities?
土耳其伊斯坦布尔8thWorldCongressinProbabilityandStatistics.
This was the 8th World Congress in Probability and Statistics.
概率论中的PDF(probabilitydensityfunction)和….
Pdf(u) is the probability density function of u, and.
Probability模块提供了多种平滑技术的支持。
Probability module provides support for a wide variety of smoothing techniques.
概率论沉思录】ProbabilityTheory:TheLogicofScience--杰恩斯(E.T.Jaynes).
Neal, see Probability theory: the logic of science by E. T. Jaynes.
译金融模型中的三种错误:使用TensorFlowProbability进行分析的简介.
The trinity of errors in financial models:An introductory analysis using TensorFlow Probability.
TensorFlowProbability是一个用于概率推理和统计分析的库。
TensorFlow Probability is a library for probabilistic reasoning and statistical analysis.
概率与估计nltk.probability频率分布、平滑概率分布.
Probability and estimation nltk. probability frequency distributions, smoothed probability distributions.
TensorFlowProbability是一个用于概率推理和统计分析的库.
TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow.
离散概率分布也称为概率质量函数(probabilitymassfunction)。
The probability distribution is also called the probability function or the probability mass function.
Aprioriprobability先验概率基于逻辑分析而非观测所形成的概率或者是由个人主观判断而得到的概率。
Priori probability is a probability based on logical analysis rather than observation or personal judgment.
如果已给定概率值,则NORMSINV使用NORMSDIST(z)=probability求解数值z。
Given a value for Probability, NORMSINV seeks that value z such that NORMSDIST(z)= probability.
第一个是先验概率(priorprobability),即我们在收集任何新信息前就确定某一想法的概率。
First, the prior probability(or simply“the prior”) is the probability we assign to an idea before we gather any new information.
如果已给定概率值,则GAMMAINV使用GAMMADIST(x,alpha,beta,TRUE)=probability求解数值x。
Given a value for probability, GAMMAINV seeks that value x such that GAMMADIST(x, alpha, beta, TRUE)= probability.
我们衷心感谢TensorFlowProbability团队,尤其是MikeShwe和JoshDillon对此文章的早期草稿给予的帮助。
We thank the TensorFlow Probability team, especially Mike Shwe and Josh Dillon, for their help in earlier drafts of this article.
每张试卷都分为3个部分,有13道题,包括PureMathematics(8道题),Mechanics(3道题)和ProbabilityandStatistics(2道题)。
Mathematics tests 1 and 2 both consist of 13 questions(8 pure mathematics,3 mechanics and 2 probability and statistics).
随着TensorFlowLite、TensorFlow.js和TensorFlowProbability的推出,TensorFlow生态系统在2018年有了大幅增长。
With the launches of TensorFlow Lite, js and TensorFlow Probability, the TensorFlow ecosystem grew dramatically in 2018.
为了评估海岸对极端风暴的脆弱性,USGS已经开发了一种风暴影响尺度(Storm-ImpactScale)来进行海岸变化概率(CoastalChangeProbability)估计。
To assess coastal vulnerability to extreme storms, the USGS has developed aStorm-Impact Scale to produce Coastal Change Probability estimates.
我们使用的启发式称为“ThompsonSampling”,或者是“RandomizedProbabilityMatching”,因为它结合了这些启发式当中的许多最佳特性。
We use a heuristic known as Thompson Sampling, or Randomized Probability Matching, because it combines many of the best features of these heuristics.
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