imakecomments

6 ms·

1.
by imakecomments 8y ago
>. there’s so much hand holding through required coursework (and homework) that one can’t hardly think deeply about anything actually original. Take an actual graduate course in pure mathematics, very little hand holding. >there’s bas
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by imakecomments 9y ago
Any PreCalculus text -> Stewart Calculus -> Strang + Axler Linear Algebra -> a Calculus based Statistics & Probability book. Do the problems in the books. Read each chapter. If you do that you'll know Calculus and Linear A
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by imakecomments 9y ago
In my experience, at my school testing is done to pass a professor's designed test cases. Usually you don't know the professor's test cases in advance.
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by imakecomments 9y ago
A PhD is paid. Universities near me pay around $30,000+/yr.
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by imakecomments 9y ago
Thanks for taking the time to clarify your points. Although, I still disagree on a few views. Even if OP is 30 there isn't an inherent reason college is too late either at the undergraduate or graduate level. If OP had the funds or ma
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by imakecomments 9y ago
I don't really agree with this. 30 isn't that old. Also, some 30 year olds still look like they're in their early 20s, so you can't tell their age to begin with. OP, in a university setting it is easier to find mentors.
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by imakecomments 9y ago
This is a bit of an overgeneralization. Are all computer science graduates software developers? Are professors with PhD degrees in CS not considered Computer Scientist? Your statement assumes graduates stop at the BS level and get programmi
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by imakecomments 9y ago
>Most other industries we like to compare ourselves to are leagues above ours in individual merit. I don't think that rings true to those with PhD degrees doing academic research in CS.
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by imakecomments 9y ago
>So, unless you think they are lying, your point doesn't stand on limiting low-income students. You missed the point. Poor kids in general don't go to Math & Science high schools, or high schools that offer college level co
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by imakecomments 9y ago
Audit edx's Calculus sequence, taught by MIT. The courses are: Calculus 1A, 1B, 1C. You can watch MIT OCW's Linear Algebra course with Strang and/or enroll in: "Linear Algebra - Foundations to Frontiers" on edx. Use
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by imakecomments 9y ago
I'm mostly interested in "modern" mathematical logic then. I'm very interested in learning category theory and its connections to programming language theory. I already know a little bit of category theory, but am open t
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by imakecomments 9y ago
I'd like to see a list like this that included the field of mathematical logic. For whatever reason mathematical logic no longer seems to be a "popular" area of research, despite its deep connection to theoretical computer sc
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by imakecomments 10y ago
You may be interested in Automated Theorem Proving: I quote the author Geoff Sutcliffe here: "Automated Theorem Proving (ATP) deals with the development of computer programs that show that some statement (the conjecture) is a logical c
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by imakecomments 10y ago
Read "Discrete Mathematics" by Epp. Probably the easiest Discrete Math intro I came across.
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by imakecomments 10y ago
No problem.
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by imakecomments 10y ago
This is just my opinion and I'm sure it differs from others... Roughgarden's class is advance and expects mathematical maturity. You may find his course quite fast and rough if you are a beginner. Sedgwick's class is much eas
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by imakecomments 10y ago
I don't like Sedgewick as much as CLRS. Sedgewick seems to assume knowledge in the physical sciences when explaining examples.
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by imakecomments 10y ago
As a follow up to this resource I recommend, Algorithms unlocked: https://www.amazon.com/Algorithms-Unlocked-Press-Thomas-Corm... CLRS: https://www.amazon.com/Introduction-Algorithms-3rd-MIT-Press... Both i
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by imakecomments 10y ago
OP you will want to be comfortable with, -Multivariate Calculus -Statistics & Probability (with Calculus) -Linear Algebra -Optimizations as a baseline. You'll need more as you progress. You want to be comfortable with the math revi
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by imakecomments 10y ago
Calculus, Linear algebra, Statistics, Probability theory. You won't get far studying "basic" ML without an elementary understanding of those subjects. Unless you blackbox the implementations and hack them, but you'll hav
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by imakecomments 10y ago
There are other examples of mathematical late bloomers. Check out https://en.wikipedia.org/wiki/Stephen_Smale He almost got kicked out of graduate school. Later went on to win the Fields Medal.
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by imakecomments 10y ago
I recommend learning discrete mathematics, then data structures and algorithms. I cannot stress enough how important mathematical foundations is. It'll make everything else much easier to learn. I haven't read the book but heard g
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by imakecomments 10y ago
I would recommend knowledge in Python. If you don't know Python prior to reading this book, then you won't learn it here. The Linear Algebra presented in the book is easy, but if you aren't familiar with Linear algebra then i
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by imakecomments 10y ago
I don't know exact percentages, but if you have top tier publications, or at the very least have relevant research experience, solid recommendation letters & faculty sponsorship then your chances of being admitted increase dramatic
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by imakecomments 10y ago
Not him but in general you need tier 1 publications, recommendation letters, a strong statement of purpose (very clear idea of what you want to do research in) and faculty fit. GRE scores are generally used as a filter. They won't get
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by imakecomments 10y ago
It's been mentioned elsewhere but I recommend: https://www.youtube.com/playlist?list=PL601FC994BDD963E4 Seems like a few lectures are missing but if you google around you might be able to find them somewhere.
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by imakecomments 10y ago
Chapter 1 is completely trivial to anyone with mathematics training. It makes no difference to me if the author expands upon the section or not. It doesn't hurt my demographics of readership because we wouldn't read that section a
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by imakecomments 10y ago
Glad I could provide some feedback. I think what you're aiming to do is exceptional. Keep up the good work.
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by imakecomments 10y ago
I didn't notice the appendices in the draft. This may help, but the version I reviewed has a brief review of Linear Algebra and Statistics in Chapter 1. The language is written in a way that assumes mathematical familiarity. Putting th
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by imakecomments 10y ago
Regarding your book, have you expanded on the math section? I saw somewhere a draft of the material and the math review seemed to be broken up into short paragraphs. These short paragraphs lacked examples and appeared to assume previous bac

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