All the Math You Missed
(but Need to Know for Graduate School)
by Thomas A. Garrity · first published 2021
90% recommend10% neutral
Why HN recommends it
Compact tour of core graduate-level mathematics that gets readers up to speed fast; valued for its theorem collection and further reading. Suits self-learners preparing for graduate study and engineers.
Summarised by Claude from recommending comments
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Strang's "Introduction to Linear Algebra". This book is a friend! Garrity's "All the Math You Missed". Brings you up to speed fast, and has great references.
on “Ask HN: Math books you recommend just for the way they are written?” ↗…design programs http://www.htdp.org/2003-09-26/Book/curriculum-Z-H-1.html#no... I think I will add something that I am interested in, it is not of interest to programmers, but heck, we are hackers! All the Math you missed: Thomas A Garrity Mathematics: Form and function. Mac Lane. These are the first 2 books I would buy if I am interested in math and want to know more. These books are simply index books. They go over…
on “News.YC Library” ↗…about self teaching math, theoretical compsci, physics etc, they're hard to google for. Best is to find a study group or willing tutor but for books/youtube, MOOC, - Cal Newport's books/blog - Garrity "all the math you missed", math for physics books by Boaz and Arfken et al. - "Passing exams for Dummies" yellow book - Barbara Oakley's books and MOOC, - Lara Alcock and Keith Devlin's "how to study" books ____________________________…
on “Metacademy: How to learn on your own” ↗…introduction (and a reference) to various areas of Modern Mathematics that one didn't even know existed, The Princeton Companion to Mathematics and The Princeton Companion to Applied Mathematics are a must. * All the Math You Missed: (But Need to Know for Graduate School) by Thomas Garrity - A survey and a good adjunct to a textbook. * Mathematics: Its Content, Methods and Meaning by Kolmogorov et al. - Classic text from the great…
on “A Gentle Introduction to the Art of Mathematics” ↗Garrity's All the Math You Missed book, mentioned elsewhere in the comments, draws a nice map of subjects, along with little introductions and book recommendations. The map is good for continuous mathematics, but IMHO fails to consider…
on “How to choose a textbook that is optimal for oneself?” ↗…powerful model, and people like to work on something tangible to get acquainted with a topic. I wonder if people might enjoy a well-written textbook covering the basic math for ML -- something like, "All the math you missed (but need to know for machine learning)" [1]. I might enjoy working on such an ebook if there was desire for one, but my time is pretty limited (like most). [1]: https://www.amazon.com/All-Mathematics-You-Missed-Graduate/d...
on “Learning Machine Learning: A beginner's journey” ↗3blue1brown linear algebra + the linear algebra chapter from “all the math you missed but need to know for graduate school” - linear algebra and abstract vector spaces in general finally feel familiar. Also, timbuktu manuscripts - showed a history that I had never really heard of. These…
on “Ask HN: Do you recall any book or course that made a topic finally click?” ↗For math I think this book has a great collection of theorems and ideas: All the Math You Missed: (But Need to Know for Graduate School). Although You probably need a certain level of mathematical maturity (A concept which the author of the book is quite passionate about) to really get the most out…
on “Ask HN: Book Ideas for Math, Physics, AI, Economics” ↗He wrote my favourite maths book. https://www.cambridge.org/core/books/all-the-math-you-missed... https://m.youtube.com/watch?v=ur0UGCL6RWc
on “Everything Is Just Functions: 1 week with David Beazley and SICP” ↗All the Math You Missed by Thomas A. Garrity. I have not read it, but it looks interesting and is on my list. It is aimed at new graduate students who need a quick refresher that is still detailed enough to be useful for postgraduate…
on “Ask HN: Math books that made you significantly better at math?” ↗