Live data from Hacker News

Think Linear Algebra (2023)

allendowney.github.io

11–20 of 39 posts

Re: Think Linear Algebra (2023)

#11
Beyond regression, I’d like to see chapters on statistical topics like PCA, CCA. This textbook format which interleaves code and prose is the perfect way to show how scikitlearn’s decomposition.cca and decomposition.pca are implemented, e.g. the SVD matrix decomposition, etc.

Re: Think Linear Algebra (2023)

#13
post #6
post #4

Earlier quoted context omitted.

And eigenvectors in the first lesson!

I think at the beginning of learning LA I would have benefited from a more broad introduction to the topic by explaining that it is the algebra of transformations, generally linear transformations, and also the art of quantifying those transformations in meaningful ways. I would have benefited from some more handwaving in this regard (matrix multiplication, eigenvectors and eigenvalues) and less on the mechanics of t…

[deleted]

Re: Think Linear Algebra (2023)

#17
post #8

Allen Downey (author of the above) has a number of books on computer science-y things. You can buy hardcopies but I think all of them are also just freely available. Here's a few: Think Complexity https://github.com/AllenDowney/ThinkComplexity2 Think DSP https://github.com/AllenDowney/ThinkDSP Think Stats https://github.com/AllenDowney/ThinkStats/ Think Bayes https://github.com/AllenDowney/ThinkBayes2/

BTW, if Allen Downey is reads this, I just want to send some love. I saw the beginning of the Internet. Everybody was full of dreams of the free flow of information and shareable knowledge, which greatest representation was executable code. Now, when we are surrounded by walled gardens and evil billionaires, Allen is always sharing his knowledge for all the world. Thank you.

Re: Think Linear Algebra (2023)

#18
post #9
post #8

Allen Downey (author of the above) has a number of books on computer science-y things. You can buy hardcopies but I think all of them are also just freely available. Here's a few: Think Complexity https://github.com/AllenDowney/ThinkComplexity2 Think DSP https://github.com/AllenDowney/ThinkDSP Think Stats https://github.com/AllenDowney/ThinkStats/ Think Bayes https://github.com/AllenDowney/ThinkBayes2/

You missed How to Think Like a Computer Scientist . Many places on the web. Runestone is probably the most useful like but I’ll leave my favorite classic one below. http://www.openbookproject.net/thinkcs/python/english3e/

Here's a newer version (2023 vs 2012).

I'm pretty sure there are also some forks where people adapted the book to other languages than Java or Python.

https://allendowney.github.io/ThinkPython/

Re: Think Linear Algebra (2023)

#19
post #17
post #8

Allen Downey (author of the above) has a number of books on computer science-y things. You can buy hardcopies but I think all of them are also just freely available. Here's a few: Think Complexity https://github.com/AllenDowney/ThinkComplexity2 Think DSP https://github.com/AllenDowney/ThinkDSP Think Stats https://github.com/AllenDowney/ThinkStats/ Think Bayes https://github.com/AllenDowney/ThinkBayes2/

BTW, if Allen Downey is reads this, I just want to send some love. I saw the beginning of the Internet. Everybody was full of dreams of the free flow of information and shareable knowledge, which greatest representation was executable code. Now, when we are surrounded by walled gardens and evil billionaires, Allen is always sharing his knowledge for all the world. Thank you.

Seconded, not only is Downey quite generous, his books are every bit as good, if not better, than expensive counterparts. Think Stats bailed my ass out of failing a stats class because it was so much clearer than the assigned book.

Re: Think Linear Algebra (2023)

#20
I saw a linear algebra “textbook” on Twitter in maybe 2022? It was black background and bright text with a good amount of graphs like someone’s incredibly long blog post. I’ve tried a few times to find it since but haven’t had any luck.

This looks a bit more involved but lovely I think I’ll try it. I read Think Bayes and thought it was great.

Post reply on HN