Probability-and-Statistics
所属分类：数值算法/人工智能
开发工具：Jupyter Notebook
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上传日期：2024-03-26 15:08:33
上 传 者：
sh-1993
说明： 学习概率和统计学基础：涵盖基本定义、条件概率、贝叶斯定理应用、组合学、描述性统计学、概率分布、中心极限定理（CLT）和置信区间。
(Learn probability and statistics fundamentals: covering basic definitions, conditional probability, Bayes theorem application, combinatorics, descriptive statistics, probability distributions, Central Limit Theorem (CLT), and confidence intervals.)
文件列表:
Prob_and_stats_notes_01.ipynb
Prob_and_stats_notes_02.ipynb
Probability Class-1.pdf
Probability_Distribution_1.ipynb
# Probability-and-Statistics
Learn probability and statistics fundamentals: covering basic definitions, conditional probability, Bayes' theorem application, combinatorics, descriptive statistics, probability distributions, Central Limit Theorem (CLT), and confidence intervals.
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