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_giorgio_ · 2 years ago
Two other free books, just published.

I'm interested in your opinion about them; both have pytorch code (notebooks).

___________________________

Understanding Deep Learning

by Simon J.D. Prince

Published by MIT Press Dec 5th 2023.

https://udlbook.github.io/udlbook/

https://www.amazon.com/Understanding-Deep-Learning-Simon-Pri...

___________________________

Dive into Deep Learning

https://d2l.ai/

https://www.amazon.com/Dive-into-Learning-Aston-Zhang/dp/100...

cashsterling · 2 years ago
I have looked through Prince's book (the free PDF) and think it is reasonably modern and pretty good. I'll probably pick up a copy at some point.

I have the new d2l book. At ~25 USD it is hard not to recommend it... the paperback print (color!) quality is good. I prefer reading print books so, for me, it is a good companion to the website, which is awesome.

_giorgio_ · 2 years ago
Thank you very much, expecially for the comment about the d2l book. An amazon review said that it was a low quality print.
maroonblazer · 2 years ago
And if you need to brush up on your math, "Mathematics for Machine Learning" is available for free, by the authors.

https://mml-book.github.io/book/mml-book.pdf

arolihas · 2 years ago
The same Bishop who wrote PRML? Nice! Looking through it does seem to be very up to date, although I wish there was a little bit more on topics like geometric deep learning and flow matching. Of course if every niche had a more thorough treatment this book would be impossibly long but more than a couple paragraphs would have been cool.
breadwinner · 2 years ago
Here it is on Amazon: https://www.amazon.com/Deep-Learning-Foundations-Christopher...

Now that Amazon has competition they are not offering even $1 of discount. In the old days you'd get at least $20 off list price.

cashsterling · 2 years ago
Springer does sales all the time. I got the 3rd edition of Peter Corke's robotics book for 17 USD directly from springer earlier this year.

I also got Nathan Ida's book on Electromagnetic, hardcover, for ~40 USD direct from springer.

zer00eyz · 2 years ago
Same price from publisher: https://link.springer.com/book/10.1007/978-3-031-45468-4

Price fixing at Amazon with books also included publishers: https://www.nytimes.com/2022/01/26/technology/amazon-price-f...

It is a new book, so my question is, is this title worth 90 bucks? Nope probably not. Maybe 9.99 for an ebook would be reasonable.

To paraphrase: Do you want piracy, because this is how you get piracy...

epgui · 2 years ago
I'll always support efforts at making education more accessible, but 90$ is pretty cheap for a textbook of this size. And it's a hardcover!

And it's available to read for free online, in its entirety, on the author's website.

It's hard to beat this proposition.

WanderPanda · 2 years ago
The ebook seems free from the first link you mention (https://link.springer.com/book/10.1007/978-3-031-45468-4)
mindcrime · 2 years ago
> It is a new book, so my question is, is this title worth 90 bucks?

IMO, yes. I'll be ordering a copy. But "different strokes for different folks" and all that.

hiddencost · 2 years ago
One of the few people who could pull the three horseman of AI to provide book blurbs.

I'm about 10 feet from PRML right now, more than a decade after I got it.

canucker2016 · 2 years ago
PRML == Pattern Recognition and Machine Learning

see https://www.microsoft.com/en-us/research/publication/pattern... for the free PDF copy.

gigafuture · 2 years ago
I skimmed through the book and it looks great! I'm about to buy it!

Besides this book are there any in the same league that are applicable to learn more about the diffusion and transformer model architectures?

imjonse · 2 years ago
Jurafsky's 3rd edition draft of his NLP book and Simon Prince's DL book both have chapters on transformers, and the latter also on diffusion. Both have official free pdf versions.

https://web.stanford.edu/~jurafsky/slp3/

https://udlbook.github.io/udlbook/

fargoth · 2 years ago
> A free-to-use eBook version is available by clicking on the book icon below.

Does anyone see a book icon? Or are we meant to flip through a slideshow embedded in the website?

WanderPanda · 2 years ago
nextos · 2 years ago
Instructions are misleading. If you click on the Issuu see full screen icon, you can read the whole book online.
armcat · 2 years ago
Looks like the embedded slideshow is what is "free". They want you to purchase the actual book.
laichzeit0 · 2 years ago
I’d be interested to know how this stacks up against Kevin Murphy’s recently released two volume Probabilistic Machine Learning books. [1]

[1] https://probml.github.io/pml-book/

imjonse · 2 years ago
Murphy's book is about probabilistic/Bayesian machine learning whereas this, according to the preface is 'almost entirely non-Bayesian'. Murphy's book is also a lot more general, this one is about the deep learning subset of ML.