Math Basics for Computer Science and Machine Learning [pdf]
1–10 of 122 posts
Re: Math Basics for Computer Science and Machine Learning [pdf]
#2I love that they have problems you can solve as well at the end of (almost) every chapter.
This IS a lot of math (1,962 pages) and it’s missing a preface/introduction which would have been helpful to understand if I need to go linear or if a la carte is okay. At the moment I’d assume each major section is independent.
Awesome find! Wonder how It’s used. (One of) the author(s) seems pretty prolific too - http://www.cis.upenn.edu/~jean/
Re: Math Basics for Computer Science and Machine Learning [pdf]
#3I love that they have problems you can solve as well at the end of (almost) every chapter. This IS a lot of math (1,962 pages) and it’s missing a preface/introduction which would have been helpful to understand if I need to go linear or if a la carte is okay. At the moment I’d assume each major section is independent. Awesome find! Wonder how It’s used. (One of) the author(s) seems pretty prolific too - http://www.ci…
> a la carte
Yeah, I wish we had an online resource (other than Wikipedia) anyone could learn any sort of math from in a systematic way... Oh well.
Re: Math Basics for Computer Science and Machine Learning [pdf]
#4From the start of Chapter 2:
"In the following four chapters, the basic algebraic structures (groups, rings, fields, vectorspaces) are reviewed, with a major emphasis on vector spaces. Basic notions of linear algebra such as vector spaces, subspaces, linear combinations, linear independence, [...], dual spaces,hyperplanes, transpose of a linear maps, are reviewed."
If anyone needs to start even earlier than this, I've actually found "3D Math Basics for Graphics and Game Development" to be a good true intro for linear algebra-related stuff. I think this would probably hold even if your primary interest is something other than graphics/game dev. Some of the text in that book's intro is a little cringey with its reliance on kind of juvenile game references, but I didn't find that sort of writing continuing during the actual text. So just push past that stuff.
I got a copy of it to act as a refresher before diving into Real-Time Collision Detection since it's been quite a long time since formal math for me (as in, high school, because I'm self-taught in CS). I've managed to make up a lot of ground by working hard and finding classes to audit online (Strang's linear alg course on OCW is a good one), but I have found that depressingly few math texts which claim to be "introductory" are actually truly introductory.
This isn't a slight against the linked work, I absolutely love when profs make resources such as this freely available.
"How to Prove It" and "Book of Proof" are also great intros to formal math, if less immediately practical.
Re: Math Basics for Computer Science and Machine Learning [pdf]
#5I love that they have problems you can solve as well at the end of (almost) every chapter. This IS a lot of math (1,962 pages) and it’s missing a preface/introduction which would have been helpful to understand if I need to go linear or if a la carte is okay. At the moment I’d assume each major section is independent. Awesome find! Wonder how It’s used. (One of) the author(s) seems pretty prolific too - http://www.ci…
[deleted]
Re: Math Basics for Computer Science and Machine Learning [pdf]
#6From the start of Chapter 2: "In the following four chapters, the basic algebraic structures (groups, rings, fields, vectorspaces) are reviewed, with a major emphasis on vector spaces. Basic notions of linear algebra such as vector spaces, subspaces, linear combinations, linear independence, [...], dual spaces,hyperplanes, transpose of a linear maps, are reviewed." If anyone needs to start even earlier than this, I'v…
> If anyone needs to start even earlier than this, I've actually found "3D Math Basics for Graphics and Game Development" to be a good true intro for linear algebra-related stuff.
Did you mean to write "3D Math Primer for Graphics and Game Development" [1]? If you did, I agree 100%. I got a lot out of this book and was able to put it to good use for several projects.
[1] https://www.amazon.com/Math-Primer-Graphics-Game-Development...
Re: Math Basics for Computer Science and Machine Learning [pdf]
#7I love that they have problems you can solve as well at the end of (almost) every chapter. This IS a lot of math (1,962 pages) and it’s missing a preface/introduction which would have been helpful to understand if I need to go linear or if a la carte is okay. At the moment I’d assume each major section is independent. Awesome find! Wonder how It’s used. (One of) the author(s) seems pretty prolific too - http://www.ci…
> a la carte Yeah, I wish we had an online resource (other than Wikipedia) anyone could learn any sort of math from in a systematic way... Oh well.
I'm wondering - is this a genuine request, or a snarky, implicit reference to an online resource for learning math somewhere?
I'd love to know about the existing resource, if it exists. (The only thing that comes to mind is Wolfram Alpha, which didn't seem 'systematic' the last time I skimmed the main page)
Re: Math Basics for Computer Science and Machine Learning [pdf]
#8From the start of Chapter 2: "In the following four chapters, the basic algebraic structures (groups, rings, fields, vectorspaces) are reviewed, with a major emphasis on vector spaces. Basic notions of linear algebra such as vector spaces, subspaces, linear combinations, linear independence, [...], dual spaces,hyperplanes, transpose of a linear maps, are reviewed." If anyone needs to start even earlier than this, I'v…
I would disagree about the gamedev book reference, unless you are referring to the real basics of linear algebra.
The really important concepts for ML are least squares, eigenvalues and vectors, and SVD. Those concepts are not very relevant to game programming.
Well, least squares can be solved with projection, which is relevant for converting between coordinate spaces. But game dev isn't going to give you that intuition.
Re: Math Basics for Computer Science and Machine Learning [pdf]
#9Earlier quoted context omitted.
> a la carte Yeah, I wish we had an online resource (other than Wikipedia) anyone could learn any sort of math from in a systematic way... Oh well.
I'm wondering - is this a genuine request, or a snarky, implicit reference to an online resource for learning math somewhere? I'd love to know about the existing resource, if it exists. (The only thing that comes to mind is Wolfram Alpha, which didn't seem 'systematic' the last time I skimmed the main page)
Maybe they were referring to Khan Academy?
Re: Math Basics for Computer Science and Machine Learning [pdf]
#10I love that they have problems you can solve as well at the end of (almost) every chapter. This IS a lot of math (1,962 pages) and it’s missing a preface/introduction which would have been helpful to understand if I need to go linear or if a la carte is okay. At the moment I’d assume each major section is independent. Awesome find! Wonder how It’s used. (One of) the author(s) seems pretty prolific too - http://www.ci…
> a la carte Yeah, I wish we had an online resource (other than Wikipedia) anyone could learn any sort of math from in a systematic way... Oh well.
The way i'm trying to learn math right now is with https://ocw.mit.edu, then you can look up into CS or Math programs to progress with other courses