线性代数
Linear algebra
Stephen H. Friedberg、Arnold J. Insel、Lawrence E. Spence · 初版 1979 年
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17位读者提及
20次提及
为什么值得读
- 将矩阵视为基底变换表象的清晰呈现方式
- 概念阐述极其清晰严密，并配有参考答案
- 适合作为学完高中数学后的进阶基石教材
一本优秀的线性代数教材。
Hacker News 上怎么说
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Linear algebra
Stephen H. Friedberg、Arnold J. Insel、Lawrence E. Spence · 初版 1979 年
一本优秀的线性代数教材。
正在加载完整评论……
……“学习人工智能”的难点不在于买书或者系统地把它们啃下来（这本身就够难的了），不过那是另一篇博文要聊的事了。附言 - 给初学者的一些推荐书单：1. Gilbert Strang 的《线性代数》 2. Gilbert Strang 的《微积分》 3. Russell 和 Norvig 写的《人工智能：一种现代的方法》 4. Tom Mitchell 写的《机器学习》 5. 《模式识别的神经网络》……
…"learning AI" is not getting the books or working through them systematically (which is hard enough), but that is for another blog entry. Post Script - Some book recommendations for beginners. 1. Linear Algebra by Gilbert Strang 2. Calculus by Gilbert Strang 3. Artificial Intelligence A Modern Approach By Russell and Norvig 4. Machine Learning By Tom Mitchell 5. Neural Networks for Pattern Recognition…
理查德·道金斯的《延伸的表现型》。Bruce Schneier 的《应用密码学》。Friedberg、Insel 和 Spence 写的《线性代数》。史蒂芬·平克的《白板》。我最近读完了丹·吉尔伯特的《撞上幸福》，强烈推荐。写得很幽默，而且会带给你一个完全不同的观察视角……
The Extended Phenotype: Richard Dawkins. Applied Cryptography: Bruce Schiener. Linear Algebra: Friedberg, Insel and Spence. Steven Pinker: The Blank Slate I've recently finished Dan Gilbert's: Stumbling on Happiness and I highly recommend it. It's witty and gives you a very different way of looking…
……将矩阵作为相对于指定基的变换的表示。根据你的口味，你可能会觉得它太枯燥，但我个人认为它的表述非常干净利落。[1]: https://www.amazon.com/Linear-Algebra-4th-Stephen-Friedberg/...
…matrices as a representation of transformations with respect to a specified basis. Depending on your tastes, you may find it too dry, but imo it is a clean presentation. [1]: https://www.amazon.com/Linear-Algebra-4th-Stephen-Friedberg/...
假设你起码掌握了高中数学水平：1. Hammack 写的《证明之道》（Book of Proof）[1] 2. Tom Apostol 的《微积分》第1卷（读到线性代数部分停下） 3. Insel、Spence 和 Friedberg 写的《线性代数》 4. Stephen Abbott 的《深入理解分析》 5. Tom Apostol 的《微积分》第2卷。这些书的讲解都非常出色，而且还能找到配套的习题解答……
Supposing you have at least high school mathematics under the belt: 1. Book of Proof by Hammack [1] 2. Tom Apostol Calculus Vol 1 (stop at Linear Algebra) 3. Linear Algebra by Insel, Spence & Friedberg 4. Understanding Analysis by Stephen Abbott 5. Tom Apostol Calculus Vol 2 These are books with excellent exposition, and solution manuals are available…
……省点钱。它们的内容大体上差不多）。大致按难度进阶排序（先数学后物理）微积分：Stewart 的《微积分》[1]（这基本算标准教材了），涵盖了微积分 1、2 和 3（多元微积分）。线性代数：David Lay 的书[2]。可以在学完微积分 2（级数部分）之后的某个时间开始学。这能带你入门一些优化和约束求解问题。重点要学会特征值/特征向量以及最小二乘法。我手上没有一本好的……
…money. The content of these is mostly the same). Mostly in order of level (math then physics) Calculus: Stewart's Calculus[1] (this is pretty much the standard) This has calc 1,2, and 3 (multi variable) Linear Algebra: David Lay [2]. Start sometime after calc 2 (series problems). This will start you on some optimization and constraint solving. Stress learning eigen values/vectors and least squares. I don't have a good…
我觉得 Friedberg、Insel 和 Spence 合著的《线性代数》写得极好。逻辑非常清晰，记号现代，习题也很棒。Tao 在 UCLA 开 115A 课用的也是这本教材：https://www.math.ucla.edu/~tao/resource/general/115a.3.02f/
I found Linear Algebra by Friedberg, Insel and Spence to be excellent. Very clear, modern notation, great exercises. It's also what Tao lectured from in 115A: https://www.math.ucla.edu/~tao/resource/general/115a.3.02f/