…vision skills. Really glad to see I'm not the only one. I don't have any recommendations for linear algebra, but for stats and probability (which I always found intimidating in the past), Allen Downey's "Think Stats" and "Think Bayes" did the trick.
How does it compare/contrast with: - Wasserman's All of Statistics? (which I haven't read/worked on) - Downey's Think Stats and Think Bayes? (which I've read in bits and pieces and have found amazing) - Any other well known Stats or Probability text?
Allen B. Downey 在编写计算机科学免费教材方面真是功德无量（Think [Stats|OS|Bayes|Python|Complexity] 系列）。大家有条件不妨考虑给他捐个款。
Allen B. Downey is doing a great work concerning free text books for Computer Science (Think [Stats|OS|Bayes|Python|Complexity]). Consider a donation maybe.
……也是。但绝对算不上入门书——它默认你已经懂回归是怎么一回事，并且最好已经在实践里用得挺多了。如果要入门的话，我可以推荐 Downey 的《Think Stats》[1] 来温和上手；想要更传统、偏数学的入门可以看 Kutner 的《Applied Linear Statistical Models》；或者看 Gelman 和 Hill 的《Data Analysis Using Regression and Multilevel/Hierarchical》[2]……
…too. Definitely not an introduction, though – it assumes you already know how regression works and preferably have already used it quite a bit in practice. For an introduction, I might recommend Downey's Think Stats [1] for a gentle introduction, Kutner's Applied Linear Statistical Models for a more traditional, mathy introduction or Gelman and Hill's Data Analysis Using Regression and Multilevel/Hierarchical [2]…
……关键在于它展示了如何通过编程和算法来教数学。另一本在用编程来展示具象数学方面做得很好的书，是 Allen Downey 的《Think Stats》。整本书里，你都是通过动手写代码的实践来学习统计学的数学概念。在机器学习等领域确实存在一个先有鸡还是先有蛋的问题，因为……
…the fact that it demonstrates ways to teach math through programming and algorithms. Another book which also does a good job at using programming to demonstrate more concrete math is Allen Downey's "Think Stats" book. All through the book, you learn the mathematical concepts of statistics through hands on programming activities. There definitely is a chicken and egg problem in areas like machine learning because…
……Python版：http://www.greenteapress.com/thinkpython/thinkpython.html 《像计算机科学家一样思考贝叶斯》（Think Bayes）：http://www.greenteapress.com/thinkbayes/index.html 《像计算机科学家一样思考复杂性》（Think Complexity）：http://www.greenteapress.com/complexity/index.html 《像计算机科学家一样思考统计学》（Think Stats）：http://www.greenteapress.com/thinkstats/index.html
…Python : http://www.greenteapress.com/thinkpython/thinkpython.html Think Bayes : http://www.greenteapress.com/thinkbayes/index.html Think Complexity : http://www.greenteapress.com/complexity/index.html Think Stats : http://www.greenteapress.com/thinkstats/index.html
……计算机视觉技能。看到不止我一个人这样真的太欣慰了。线性代数我没什么好推荐的，但说到统计和概率（我以前总觉得这玩意儿贼吓人），Allen Downey 的《Think Stats》和《Think Bayes》绝对管用。
…vision skills. Really glad to see I'm not the only one. I don't have any recommendations for linear algebra, but for stats and probability (which I always found intimidating in the past), Allen Downey's "Think Stats" and "Think Bayes" did the trick.
这书跟下面这些比起来怎么样/有什么异同？ - Wasserman 的《All of Statistics》（我还没读过/做过里面的题） - Downey 的《Think Stats》和《Think Bayes》（我零零散散读过一些，觉得写得太棒了） - 其他知名的统计学或概率论教材？
How does it compare/contrast with: - Wasserman's All of Statistics? (which I haven't read/worked on) - Downey's Think Stats and Think Bayes? (which I've read in bits and pieces and have found amazing) - Any other well known Stats or Probability text?
Allen B. Downey 在编写计算机科学免费教材方面真是功德无量（Think [Stats|OS|Bayes|Python|Complexity] 系列）。大家有条件不妨考虑给他捐个款。
Allen B. Downey is doing a great work concerning free text books for Computer Science (Think [Stats|OS|Bayes|Python|Complexity]). Consider a donation maybe.
……也是。但绝对算不上入门书——它默认你已经懂回归是怎么一回事，并且最好已经在实践里用得挺多了。如果要入门的话，我可以推荐 Downey 的《Think Stats》[1] 来温和上手；想要更传统、偏数学的入门可以看 Kutner 的《Applied Linear Statistical Models》；或者看 Gelman 和 Hill 的《Data Analysis Using Regression and Multilevel/Hierarchical》[2]……
…too. Definitely not an introduction, though – it assumes you already know how regression works and preferably have already used it quite a bit in practice. For an introduction, I might recommend Downey's Think Stats [1] for a gentle introduction, Kutner's Applied Linear Statistical Models for a more traditional, mathy introduction or Gelman and Hill's Data Analysis Using Regression and Multilevel/Hierarchical [2]…
……关键在于它展示了如何通过编程和算法来教数学。另一本在用编程来展示具象数学方面做得很好的书，是 Allen Downey 的《Think Stats》。整本书里，你都是通过动手写代码的实践来学习统计学的数学概念。在机器学习等领域确实存在一个先有鸡还是先有蛋的问题，因为……
…the fact that it demonstrates ways to teach math through programming and algorithms. Another book which also does a good job at using programming to demonstrate more concrete math is Allen Downey's "Think Stats" book. All through the book, you learn the mathematical concepts of statistics through hands on programming activities. There definitely is a chicken and egg problem in areas like machine learning because…