Basics should be concepts that get you to 80% and tell you where to look for the rest 20%. This book tries to get you directly to 95% and is best treated as a reference book.
Math Basics for Computer Science and Machine Learning [pdf]
31–40 of 122 posts
Re: Math Basics for Computer Science and Machine Learning [pdf]
#32Very first sentence of 2.1 is full of notation, symbols and terms that I, as a prospective student, might not understand. So many teachers seem incapable of stepping outside their sphere of knowledge and seeing what they know and others do not. And so much work went into this.
It sounds like you correctly identified a mismatch between audience and material, but I don’t think it’s appropriate to describe the teachers/authors as having made an error. Why would you assume that you are the intended audience of this text and thus that the authors have made some mistake?
Re: Math Basics for Computer Science and Machine Learning [pdf]
#33Wow!
Re: Math Basics for Computer Science and Machine Learning [pdf]
#34“Math Basics” is quite the misnomer—it gives the impression that one would need to study all of the contents of this book to be an effective practitioner in CS or ML. Memorizing every definition and theorem in this book would be neither necessary nor sufficient for that purpose. Keep in mind it can take an hour, and sometimes way more, to really absorb a single page of a math book like this (do the math). This is mor…
This is book 1962 pages long. If this is basic, how long is the advanced book?!
Re: Math Basics for Computer Science and Machine Learning [pdf]
#35Strangely, probability theory is completely omitted.
Re: Math Basics for Computer Science and Machine Learning [pdf]
#36Very first sentence of 2.1 is full of notation, symbols and terms that I, as a prospective student, might not understand. So many teachers seem incapable of stepping outside their sphere of knowledge and seeing what they know and others do not. And so much work went into this.
As someone in the same boat I've found this book to be very helpful. https://www.amazon.com/gp/product/1466230525 - Mathematical Notation: A Guide for Engineers and Scientists
I purchased this. I've been trying to brush up on CS fundamentals (it's been a long time since college), but I get stuck just on trying to understand what I'm being asked to learn.
Thank you
Re: Math Basics for Computer Science and Machine Learning [pdf]
#37Very first sentence of 2.1 is full of notation, symbols and terms that I, as a prospective student, might not understand. So many teachers seem incapable of stepping outside their sphere of knowledge and seeing what they know and others do not. And so much work went into this.
It sounds like you correctly identified a mismatch between audience and material, but I don’t think it’s appropriate to describe the teachers/authors as having made an error. Why would you assume that you are the intended audience of this text and thus that the authors have made some mistake?
That's a valid question, but the title of the post begins with "Math Basics..." The title of the paper is totally different. Maybe my point should have been directed at OP rather than the authors.
Re: Math Basics for Computer Science and Machine Learning [pdf]
#38That's almost 2,000 pages of math...I don't know why and how, but somehow I forgot most of the Statistics knowledge I obtained as a graduate student (in Stat) 10 years ago. I remembered that I took an advanced course about Bayesian Inference, and one course about Multivariate Statistics (PCA, Factor analysis, these kind of things), and my project is about Bernstein Polynomial. That's it...
You forget complex things that you don't use regularly. Math, spoken languages, written languages, coding...of course you can re-learn it, and re-learning is faster than learning it for the first time.
Based on speaking to my managers in the past, it seems like a year-long lapse is enough for you to lose an incredible amount of retained knowledge/skill. But it's not a permanent loss.
Re: Math Basics for Computer Science and Machine Learning [pdf]
#39Nice to see wavelets in here - but it's a shame that he seems to be encouraging people to actually use Haar wavelets.
They're fine for teaching - but there are usually better choices in real life. Daubechies are a good default
Re: Math Basics for Computer Science and Machine Learning [pdf]
#40Earlier quoted context omitted.
It sounds like you correctly identified a mismatch between audience and material, but I don’t think it’s appropriate to describe the teachers/authors as having made an error. Why would you assume that you are the intended audience of this text and thus that the authors have made some mistake?
That's a valid question, but the title of the post begins with "Math Basics..." The title of the paper is totally different. Maybe my point should have been directed at OP rather than the authors.
Indeed, I think the HN submission title is erroneous.
The actual paper’s title:
> Algebra, Topology, Differential Calculus, and Optimization Theory For Computer Science and Machine Learning