Where do I best learn informal set theory?

Question

I want to learn math for machine learning, and I want to start with informal set theory.

I was reading 'naive set theory' (1960) by halmos, and it didn't seem to contain modern set notations.

If anyone knows a good material for learning informal set theory, please leave a comment.

That being said, I do not mind some rigor as long as it helps me with statistics, calculus, and other math fields used in machine learning.

Does this answer your question? Basic book about mathematical proofs — user1110341, Oct 07 '23 at 09:17

score 0 · Answer 1 · answered Apr 21 '15 at 09:49

0

Have you already had a look at this: Khan Academy: Set Theory

answered Apr 21 '15 at 09:49

ploosu2

I'm not sure if https://www.khanacademy.org/math/probability/independent-dependent-probability/basic_set_operations is enough to enable me to write fluent set notations. – Apr 21 '15 at 10:06

score 0 · Accepted Answer · answered Apr 26 '15 at 16:21

0

You can see the book "Book of Proof" of Richard Hammack; it have many diagrams and pics. The chapter about cardinals is very educational.

P.S.: Machine leaning is more about Linear Algebra and Probability Theory.

answered Apr 26 '15 at 16:21

Cristhian Gz

I started reading 'how to prove it' by velleman a while ago. How do you compare 'how to prove it' with 'book of proof'? – Apr 28 '15 at 02:57
Both are very similar. I think the main difference is the style of the author. Read both: "How to prove it" has more verbosity, by other hand "Book of proof" has great diagrams. – Cristhian Gz Apr 28 '15 at 04:19

2 Answers2