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I'm confused as to the intended audience for this. It's not a textbook. In the bits I looked at it doesn't attempt to teach the material, just banging out defin

I'm confused as to the intended audience for this. It's not a textbook. In the bits I looked at it doesn't attempt to teach the material, just banging out definitions and theorems. Also, the table of contents doesn't have hyperlinks to the actual content, which makes navigation a massive annoyance. Similarly, there aren't hyperlinks to the references. An impressive amount of work went into this, but why?

deleted 4y ago
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c-c-c-c-c 4y ago
It's just a reference, I wouldn't view it as teaching material. Its quite useful to look things up in.
- fleetwoodsnack 4y ago
  Yep, this is an extended survey of interrelated concepts organized according to increasing complexity. Similar to textbooks in the organizational principle, but differentiated in substance in that it assumes familiarity with the underlying topics and focuses on the relationships between the concepts rather than the concepts themselves. Good for practitioners I think.
nicklaf 4y ago
The book is still in progress [0]. For example, the introduction has yet to be written, which presumably would answer some of these questions about the intended audience. The author also has books [1] on tangentially related subjects, several with a good amount of overlap in material. [0] https://www.cis.upenn.edu/~jean/gbooks/geomath.html https://www.cis.upenn.edu/~jean/gbooks/geomath.html [1] https://www.cis.upenn.edu/~jean/gbooks/home.html https://www.cis.upenn.edu/~jean/gbooks/home.html
whoevercares 4y ago
I feel this is good foundation in CS and interested into more advanced ML and math. At least for me I feel excited when reading the toc since I have touched many of those concept over the years but never went deeper
meltyness 4y ago
The space of permissible transformations is of great interest since moving beyond linear combination alla ANNs has lead to great performance strides in deep learning?
chisquared 4y ago
> just banging out definitions and theorems This is pretty standard for graduate-level math texts, though. That might say something about their intended audience.
adultSwim 4y ago
It is a textbook.

deleted 4y ago

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c-c-c-c-c 4y ago

It's just a reference, I wouldn't view it as teaching material. Its quite useful to look things up in.

fleetwoodsnack 4y ago
Yep, this is an extended survey of interrelated concepts organized according to increasing complexity. Similar to textbooks in the organizational principle, but differentiated in substance in that it assumes familiarity with the underlying topics and focuses on the relationships between the concepts rather than the concepts themselves. Good for practitioners I think.

nicklaf 4y ago

The book is still in progress [0]. For example, the introduction has yet to be written, which presumably would answer some of these questions about the intended audience. The author also has books [1] on tangentially related subjects, several with a good amount of overlap in material. [0] https://www.cis.upenn.edu/~jean/gbooks/geomath.html https://www.cis.upenn.edu/~jean/gbooks/geomath.html [1] https://www.cis.upenn.edu/~jean/gbooks/home.html https://www.cis.upenn.edu/~jean/gbooks/home.html

whoevercares 4y ago

I feel this is good foundation in CS and interested into more advanced ML and math. At least for me I feel excited when reading the toc since I have touched many of those concept over the years but never went deeper

meltyness 4y ago

The space of permissible transformations is of great interest since moving beyond linear combination alla ANNs has lead to great performance strides in deep learning?

chisquared 4y ago

> just banging out definitions and theorems This is pretty standard for graduate-level math texts, though. That might say something about their intended audience.

adultSwim 4y ago

It is a textbook.