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软件简介

Truth 是一个用于测试的 assertion/proposition 框架。它能够用来取代 JUnit's assertions, FEST,  Hamcrest's matchers 等情况。

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发表了博客
2019/03/26 17:20

Ground Truth

  ground truth就是参考标准,一般用来做误差量化。比方说要根据历史数据预测某一时间的温度,ground truth就是那个时间的真实温度。error就是(predicted temperature - real temprature)。在监督学习中,数据是有标签(label)的的,以(x, t)的形式出现,其中x是输入数据,t是label。正确的t标签是ground truth, 错误...

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发表了博客
2018/03/17 23:50

机器学习中的 ground truth

维基百科关于 ground truth的解释: 【 Ground truth】 大致为: 在统计学和机器学习中:在机器学习中ground truth表示有监督学习的训练集的分类准确性,用于证明或者推翻某个假设。有监督的机器学习会对训练数据打标记,试想一下如果训练标记错误,那么将会对测试数据的预测产生影响,因此这里将那些正确打标记的数据成...

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发表了博客
08/25 18:23

This kind of thinking actually has a certain truth

This kind of thinking actually has a certain truth. The Nobel Prize winner in economics once deeply analyzed in her "The Essence of Poverty" why the poor cannot escape poverty: the limited channels......

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发表了博客
2018/09/06 12:04

The Truth behind the Follow/Unfollow Method on Instagram

https://workmacro.com/instagram/truth-behind-follow-unfollow-method-instagram/ The follow/unfollow strategy is very common for those familiar with Instagram automation. It works by following users that might be interested in your content, wait a few days, then unfollow them if they do not follow ...

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发表了博客
2013/01/22 10:39

C# - Truth of Facts - threading and await/async

It is lured to believe that async and await will take care of threading underneather, because as the name suggests that there must be something related to threading and the CLR runtime must be taking care of the threading underneath so you get real asynchronous. However, from the MSDN prescriptio...

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发表了博客
2015/06/07 10:06

寻找数据真相设想-find the data truth

在数字世界中,如何寻找数据真相?本故事纯属虚构,如有雷同,纯属巧合。

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发表于运维专区
03/04 19:56

Truth – 更接近单元测试的“真相”

1、简介 作为QA工程师,在单元测试上我们大部分的时间读代码、测代码,而不是写新代码。因此,在要求RD同学们写出整洁干净的业务代码同时,也要求我们自己写出可读性强、维护成本低的测试代码与断言。 今天像大家...

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发表了博客
03/19 20:28

Identifying worker labeling efficiency using Amazon SageMaker Ground Truth

https://amazonaws-china.com/blogs/machine-learning/identifying-worker-labeling-efficiency-using-amazon-sagemaker-ground-truth/ A critical success factor in machine learning (ML) is the cleanliness and accuracy of training datesets. Training with mislabeled or inaccurate data can lead to a poorly ...

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发表了博客
03/19 20:08

Identifying worker labeling efficiency using Amazon SageMaker Ground Truth

https://amazonaws-china.com/blogs/machine-learning/identifying-worker-labeling-efficiency-using-amazon-sagemaker-ground-truth/ A critical success factor in machine learning (ML) is the cleanliness and accuracy of training datesets. Training with mislabeled or inaccurate data can lead to a poorly ...

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发表了博客
03/19 20:07

Defending democracy in a post-truth world filled with AI, VR and deepfakes

http://www.zdnet.com/article/defending-democracy-in-a-post-truth-world-filled-with-ai-vr-and-deepfakes/ The Reality Game: How the next wave of technology will break the truth and what we can do about it • By Samuel Woolley • Endeavour • 242 pages • ISBN 978-1-91306-812-7 • £16.99 The 1986 ...

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