May 2025
Beginner to intermediate
338 pages
3h 39m
Chinese
Overview
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如果您知道如何编程，那么您已经准备好学习贝叶斯统计学了。通过本书，您将学习如何使用 Python 代码而不是数学公式来解决统计问题，使用离散概率分布而不是连续数学。一旦您掌握了数学知识，贝叶斯统计学的基础知识就会变得更清晰，您就可以开始将这些技术应用到现实问题中了。
贝叶斯统计方法越来越普遍，越来越重要，但可供初学者参考的资源却很少。本书基于作者艾伦·B·道尼（Allen B. Downey）的本科课程，采用计算方法，帮助您打下坚实的基础。
- 利用你的编程技能学习和理解贝叶斯统计学
- 处理涉及估计、预测、决策分析、证据和贝叶斯假设检验的问题
- 从简单示例入手，使用硬币、骰子和一碗饼干进行实践
- 学习解决实际问题的计算方法
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