这本是讲统计学的。我发现从线性代数的视角去解释统计学概念极其直观。Thomas D. Wickens 写的《多元统计的几何学》（The Geometry of Multivariate Statistics）就是一个简单、精炼且清晰的范例，我当时完全是冲着书名买的。它梳理了一元和多元线性回归的几何解释，然后深入探讨了…的几何解释
This one is for statistics. I have found the explanation of statistical concepts through the lens of linear algebra immensely intuitive. A simple, short and clear illustration of this is in 'The Geometry of Multivariate Statistics' by Thomas D. Wickens, which I purchased solely based on it's title. It goes through the geometric interpretation of univariate, and multivariate linear regression, then goes into the geometric interpretation…
…对数学的理解（向量空间、SVD、正交性、不变性等），并且随着时间推移能够体会其底层特征/关联，我最近在 T. Wickens 的《多元统计的几何学》（The Geometry of Multivariate Statistics）里体会到了一点。我很期待能搞懂测度论和相关的数学知识。
…understanding of mathematics (vector spaces, SVD, orthogonality, invariances, etc.) and over time appreciating the underlying characteristics/relationships, which I recently got a taste of from T. Wickens, The Geometry of Multivariate Statistics. I look forward to understanding measure theory and related math.
这本是讲统计学的。我发现从线性代数的视角去解释统计学概念极其直观。Thomas D. Wickens 写的《多元统计的几何学》（The Geometry of Multivariate Statistics）就是一个简单、精炼且清晰的范例，我当时完全是冲着书名买的。它梳理了一元和多元线性回归的几何解释，然后深入探讨了…的几何解释
This one is for statistics. I have found the explanation of statistical concepts through the lens of linear algebra immensely intuitive. A simple, short and clear illustration of this is in 'The Geometry of Multivariate Statistics' by Thomas D. Wickens, which I purchased solely based on it's title. It goes through the geometric interpretation of univariate, and multivariate linear regression, then goes into the geometric interpretation…
…对数学的理解（向量空间、SVD、正交性、不变性等），并且随着时间推移能够体会其底层特征/关联，我最近在 T. Wickens 的《多元统计的几何学》（The Geometry of Multivariate Statistics）里体会到了一点。我很期待能搞懂测度论和相关的数学知识。
…understanding of mathematics (vector spaces, SVD, orthogonality, invariances, etc.) and over time appreciating the underlying characteristics/relationships, which I recently got a taste of from T. Wickens, The Geometry of Multivariate Statistics. I look forward to understanding measure theory and related math.