I have one (1) month to read this book. Someone come do it with me.

Skip to content
# I have one (1) month to read this book. Someone come do it with me.

###

I have one (1) month to read this book. Someone come do it with me.

What's your address? I'll come

Only if you're a cute girl

How do you imagine reading book with you over the internet?

Collaboration over a matrix, telegram, or discord server.

But daily, frequent collaboration, because I'm serious about finishing this book in one month.

It shouldn't be too bad. It doesn't require any prerequisite knowledge

How much time we need daily to finish it in a month?

How hard can it be?

PM me.

Check your front doorstep

Two 3 hour sessions in a day

I don't have that much time :/ Sorry, I can't help you.

Email me at [email protected] if you’re serious. Send discord user and I’ll message you when I get home (in an hour or so).

>Two 3 hour sessions in a day

It's fricking over for us wagies

Post an update in a month, because I really doubt you (or anyone unfamiliar with the subjects) can read 1000 pages that quickly.

NTA but ~35 pages per day is not very extreme

It really is quite a lot of maths to read and understand for one day.

Maybe that's the case, sure. But aiming for 1000 pages in a month and reaching 800 doesn't sound so bad either.

For any anons that are willing to join, we've made a discord: https://discord.gg/tt8EFnqY

Don't do it anons, they'll groom you into becoming a troony.

Bump, the first chapter was interesting

What was the first chapter about?

>If you get gud enough, you won't have to wage

How so? Academia would still be waging but for less money

The first chapter is an introduction to symbolic logic, inference rules, and certain methods for writing proofs. They do assume the reader is well versed in symbolic logic however, so they move past this section rather quickly. At the moment I'm supplementing with the first 3 chapters of How to Prove It which should take 1-2 days maximum.

>>If you get gud enough, you won't have to wage

>How so? Academia would still be waging but for less money

Not academia. An advanced programmer can make plenty while also not waging

Can someone give me an example of how calculus/linear algebra is useful in CS other than graphics/physics engines/AI? Even if you are making those things from scratch it’s literally just plug and chug math. Having a deep understanding of them seems to have no benefit, I’ve never been writing a program and found my calculus/linear algebra knowledge to be useful in any way.

In your work how crucial is the computational complexity of the systems you write?

Is extremely high performance a factor?

Do you have to model any problems with graph theory?

Do you have to optimize machine learning operations? Other mathematical operations?

Are you doing any form of cryptography? Etc

If no, then you're right, you probably don't need a strong mathematics background. But most of the interesting problems require you to have one.

If you get gud enough, you won't have to wage

>cs

troony meme soience

>Meyer

should have picked a less israeli book goy

>tfw i look through the table of contents and its almost all material im familiar with

Feels good man. Years of effort finally feel like they've sort of paid off. I remember long ago seeing books like this and it seemed like deciphering mystical runes. Keep at it anons, knowledge is it's own reward.

Make sure to take good notes. I still refer back to my notebooks from years ago and it really does make the knowledge "your own" so to speak. It's good when you can use it as reference, written out in a way you understand best because it was written by you, for you.

Which books did you start out with?

Which books are you reading now?

>Which books did you start out with?

I can't remember all of them with certainly, but:

>book of proof

>a transition to advanced mathematics

>Rosen's Discrete Mathematics (i think 4th or 5th edition)

>Guichard Calculus Early Transcendentals

>Sandy Irani Discrete Mathematics

>for algebra/trig/precalc I think I mostly various open books and especially Sheldon Axler Precalc (highly recommend)

This isn't exhaustive but these are the ones I remember. You don't need all of these, theres a lot of overlap

I realized eventually that it's better to focus on topics rather than books. So I would jump around a lot between different ones, and I highly recommend the same to any self learners. You don't have to read 1 book, page 1 -> final page. Feel free to skip to specific chapters, or maybe if you don't understand the description in one book, read another one and see if they explain it in a way that clicks with you.

More than anything make sure you are doing exercises, trying the example problems, and even better making up your own questions.

I did that thing where I wasted immense amounts of time deliberating over which book is "best" and in the process accomplishing nothing.

>Which books are you reading now?

Im trying to get a degree now, so mostly just whatever the school assigns. I have concrete mathematics which I've slowly tried working through in my free time. Its technically a no prerequisites text, but imo its very difficult and requires some prior exposure to the ideas because it moves fast and doesn't spend much time on the basics. Like induction is explained in 2 or 3 sentences then after that you're expected to use it in proofs.

Also Udi Manber - Algorithms Creative Approach which imo is severely underrated.

I highlyrecommend both. Where other books seem to pull equations out ohin air and then show the proof, these books both shows the "scaffolding"/ actual process of going from a question to the final equation, then proving their validity.

>Udi Manber - Algorithms Creative Approach

This seems like a good self study book for algorithms. I'm planning on going through a more formal introduction to algorithms with CLRS, but the Udi book looks like it would be a good supplement.

I'll consider it but first tell me:

>your background in mathematics

>your background in CS, both theoretical and practical

>if you didn't go to uni, at least list the math courses you took in high school

Too long of a book, plus to do the practice problems.

The chapters seem very general too. At first I thought this was gonna be a numerical analysis book.

more math than comp sci imo, like do cs people really need to know about cardinality?

what do you think computer science is?

Math. One plus one is two.

Computer Science: "The speedy thing pushes the holes!" 😀

Done.