Practical Statistics for Data Scientists

统计的内容比较浅，没有讲数学根基，都是讲如何用R实现，但是书整体不错

必读，对数据科学中最重要的统计学概念做了非常系统全面的梳理。推荐给所有即将成为数据科学家，或者已经在当数据科学家的同学。

Very clear and straight-to-point guide for entry level data scientists. Examples are well explained with codes to follow. Would like to see Python over R but other than it everything is good.

如痴如醉

很实用，尤其如果面试需要准备stat这个实在是很实用，然而深度上欠缺也成为必然

本书让我回忆起了之前在墨尔本大学的课程Thinking and Reasoning with Data: - The book title is aligned with its content. The structure also follows a rigious data science workflow (EDA, data processing, hypothesis testing, regression,classification, machine learning and unsupervised learning). - Good balance between stats and ML. They are so nice to show both R

第三次系统学习statistics， 每次都惊呆自己竟然忘得一干二净。

适合作为一个工具书，对照看看同一个方法的R和python的指令。方法没有太多的深入和展开，有些案例举得不太适合。

great practical intro, but need to dig deeper into each technique, its assumptions and use cases