数据科学基础

Hacker News 上怎么说

• psv1 · 2019 年

  ……机器学习。如果这里面有任何一本觉得太难——先去看 Khan Academy 的 Precalculus（他们也有线性代数和微积分的内容）。这能帮你打好数学基础。几本更偏向 ML 的书：- 《Foundations of Data Science》- Blum 等著 - 《统计学习精要》（Elements of Statistical Learning）- Hastie 等著。这本书的进阶浅显版《统计学习导论》（Introduction to Statistical Learning）在斯坦福官网上还有免费配套课程。- 机器……

  …Machine Learning If any of these seem too difficult - Khan Academy Precalculus (they also have Linear Algebra and Calculus material). This gives you a math foundation. Some books more specific to ML: - Foundations of Data Science - Blum et al. - Elements of Statistical Learning - Hastie et al. The simpler version of this book - Introduction to Statistical Learning - also has a free companion course on Stanford's website. - Machine…

• melodrama · 2019 年

  ……挂上了不同的作者名字。而链接里的这本书完全没有这些毛病。[0] Deisentoth、Faisal、Ong 合著的《Mathematics For Machine Learning》https://mml-book.github.io/book/mml-book.pdf [1] Blum、Hopcroft、Kannan 合著的《Foundations Of Data Science》http://www.cs.cornell.edu/jeh/book%20no%20so;utions%20March%... 2] 《Pure Mathematics for Beginners: A Rigorous Introduction to Logic, Set Theory, Abstract Algebra, Number Theory,…》

  …different author names attached. The linked book doesn't suffer from any of these problems. [0] Mathematics For Machine Learning by Deisentoth, Faisal, Ong https://mml-book.github.io/book/mml-book.pdf [1] Foundations Of Data Science By Blum, Hopcroft, Kannan http://www.cs.cornell.edu/jeh/book%20no%20so;utions%20March%... 2] Pure Mathematics for Beginners: A Rigorous Introduction to Logic, Set Theory, Abstract Algebra, Number Theory,…

• yummyfajitas · 2016 年

  ……高斯分布或其他彼此分离的分布，或者 b) 这些分布之一的投影不可能与另一个分布的投影具有不同的分布。在进一步长篇大论探讨这个话题之前，请先去读读《Foundations of Data Science》的第1章和第2章：http://research.microsoft.com/en-US/people/kannan/book-no-so... 你能明确说明一下，你究竟认为这篇文章证明了关于哪一个的什么观点吗……

  …gaussians or other distributions which are separated from each other or b) that projections of one of these distributions can't have a different distribution than a projection from the other. Please go read Foundations of Data Science, chapters 1 and 2 before expounding on this topic further: http://research.microsoft.com/en-US/people/kannan/book-no-so... Can you clearly state what, precisely, you think this article proves about either…

• moab · 2017 年

  ……理论性极强，任何准备面试这类岗位的人都至少该花上一两周翻翻这本书，看看理论界都在研究什么样的算法和性质。《Foundations of Data Science》（Blum, Hopcroft, Kannan）https://www.cs.cornell.edu/jeh/book2016June9.pdf

  …are extremely theoretical, anyone interviewing for these kind of roles should spend at least a week or two just looking through this to see what kind of algorithms and properties are studied in theory. Foundations of Data Science (Blum, Hopcroft, Kannan) https://www.cs.cornell.edu/jeh/book2016June9.pdf

• nilknarf · 2016 年

  ……真没想到会在那个书单里看到 Hopcroft/Kannan 的书。我以前上 Kannan 教的一门课时用过它，那时候书名叫《信息时代计算机科学理论》（Computer Science Theory for the Information Age）。显然现在书名改成了《Foundations of Data Science》。我一直觉得老名字起得很烂，但跟新书名比起来，老名字其实对内容的描述要准确得多，因为这本书主要讲的就是 CS 理论及其背后的数学基础。……

  …didn't expect to see Hopcroft/Kannan in that list. I used it in a course taught by Kannan and back then it was called "Computer Science Theory for the Information Age". Apparently the book is now called "Foundations of Data Science". I always thought the old naming was terrible but compared to the new title it actually describes the content a lot better since the book is mainly about CS theory and mathematical foundations for them.…

• irishspring · 2020 年

  ……这类书。比如，入门级的内容[0]以及更进阶的内容[1]。[0] Deisenroth, Faisal, Ong 著《Math For Machine Learning》：https://www.google.com/books/edition/Mathematics_for_Machine... [1] Blum, Hopcroft, Kannan 著《Foundations of Data Science》：https://ttic.uchicago.edu/~avrim/book.pdf

  …such books. For example, elementary stuff[0] and more advanced stuff[1]. [0] Math For Machine Learning by Deisenroth, Faisal, Ong: https://www.google.com/books/edition/Mathematics_for_Machine... [1] Foundations of Data Science by Blum, Hopcroft, Kannan: https://ttic.uchicago.edu/~avrim/book.pdf

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