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数据科学中的概率分布：从基础到复杂的全面指南🧠🦍
这张图展示了多种概率分布及其在数据科学中的应用。以下是一些常见的概率分布及其简单解释：
1. 正态分布（Normal Distribution）：钟形曲线，常用于自然现象的数据建模。
2. 二项分布（Binomial Distribution）：用于表示成功和失败两种结果的事件。
3. 泊松分布（Poisson Distribution）：用于描述单位时间内事件发生的次数。
4. 指数分布（Exponential... See more
The parameter in the general population is true, and the sample parameter is an estimate of the true parameter.
Roman Zykov • Roman's Data Science: How to monetize your data
You and Your Research - Richard Hamming (Bell Communications Research Colloquium, 1986)
LinkGitHub - squat/kilo: Kilo is a multi-cloud network overlay built on WireGuard and designed for Kubernetes (k8s + wg = kg)
github.com
10-page PDF covers a semester's worth of introductory probability —⭐️The best and only #Probability Cheat Sheet that you may ever need⭐️: https://t.co/R6X98brSdo by @wzchen & @stat110 📊📈
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#DataScience #Statistics #Mathematics #DataLiteracy #DataScientist https://t.co/s3DlhuKIBf
One problem with all of these tests is that they are distribution-specific. For example, the Student’s t-test and the z-test require normally distributed data.