Math Basics for Computer Science and Machine Learning [pdf]

Post by markus_zhang » Wed, Jul 31, 2019, 2:43 PM UTC

xenihn wrote: post #38

markus_zhang wrote: post #16

That'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.

Post by tapland » Wed, Jul 31, 2019, 3:02 PM UTC

duckqlz wrote: post #65

jointpdf wrote: post #25

“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…

> “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. To me basics mean that if you study this entire book you won’t be able to understand ML otherwise it would say comprehensive. Furthermore the math presented in this book are all taught in 1st year courses for most CS programs I’ve encountered. > Keep…

Post by gantkimthis » Wed, Jul 31, 2019, 3:30 PM UTC

Post by xiaolingxiao » Wed, Jul 31, 2019, 4:06 PM UTC

xiaolingxiao wrote: post #75

The professor who wrote this is Jean Gallier, and I had him for advanced linear algebra at Penn. I am also pretty close to him in so far as a student can be close to a professor. On a personal note, he is one of the funniest professor I've had, and all math professors are characters. For the people who are interested in ML, the thing to remember here is that he is a Serious mathematician, and he values rigor and in-d…

Post by PopeDotNinja » Wed, Jul 31, 2019, 4:53 PM UTC

Koshkin wrote: post #86

PopeDotNinja wrote: post #34

Earlier quoted context omitted.

This is book 1962 pages long. If this is basic, how long is the advanced book?!

Actually. many "advanced" texts are rather short (perhaps because they are more specialized or they do not need to be verbose or "entertaining" like many elementary texts are).