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Feb 9 β€’ 4 tweets β€’ 4 min read
****Big news for fans of ISLRv2!!**** #RStats #ISLR #ISL

A TORCH VERSION OF THE DEEP LEARNING LAB (CHAPTER 10) IS NOW AVAILABLE!!! πŸŽ†πŸ€©πŸ’―πŸΎπŸ₯³πŸŽ‰πŸͺ…

The original deep learning lab made use of keras, which requires a python installation, and is very finicky.

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@dfalbel and @zkajdan translated the Chapter 10 lab into torch, a deep learning library from @rstudio that **doesn't require a python installation**.

It's available here: statlearning.com/resources-seco…

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This new torch lab will make it easier for instructors to teach deep learning, without needing to troubleshoot a classroom full of keras installation errors. πŸ‘©β€πŸ«πŸ’»πŸ˜­

Thanks to @dfalbel and @zkajdan for this valuable contribution!!! πŸ™πŸ™πŸ™

@HastieTrevor @robtibshirani

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Also, if anyone knows what this mysterious emoji is that magically appeared in the first tweet of this thread, then pray tell. I am flummoxed Image

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More from @daniela_witten

Daniela Witten Profile picture
Dec 26, 2021
My daughter and I have been sitting on the tarmac at SeaTac for 6 hours waiting for our flight to take off.

@alaskaair what is going on?! 6 hours is way too long to have a 7yo sitting on a plane, especially without snacks, water, or updates about flight status
Also, thankful for our n95s, I can’t see a covered nose anywhere
Luckily I brought emergency provisions. This wasn’t special for the flight, I literally never leave the house without an entire produce aisle in my bag, otherwise I get too hangry
Read 5 tweets
Daniela Witten Profile picture
Oct 2, 2021
What I’ve learned during this pandemic… a 🧡

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Read 6 tweets
Daniela Witten Profile picture
Aug 5, 2021
Finally --- the 2nd edition of ISLR is out!!!!πŸ₯³πŸŽ‰πŸͺ…πŸΎ

Well, sort of. πŸ™„It's "published", but due to shortages in the global paper supply, hard copies won't be available for a bit longer πŸ˜’πŸ˜­πŸ€¦β€β™€οΈ

You can pre-order a hard copy from Springer/Amazon, & **download the pdf today**! 1/ Image
Purchase from Springer: link.springer.com/book/10.1007/9…

Purchase from Amazon: amazon.com/Introduction-S…

Download the pdf today: statlearning.com
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The 2nd edition has been in the works for literally 4 years, which -- as a point of reference -- is more than 5x longer than it takes to make a human baby.

It has 50% more material than the original edition, including three all-new chapters! 3/ Image
Read 6 tweets
Daniela Witten Profile picture
Apr 14, 2021
A lot of people have reached out to check in on me after this article came out --- in which I use a very colorful analogy to describe the current situation that many mothers in academia face during the pandemic 1/ nytimes.com/2021/04/13/hea…
If you reached out, then thank you for the concern. I have been very fortunate: since late Spring 2020, I have had the good fortunate of consistent high-quality childcare for my 3 small children. (Not to mention that I'm senior faculty w/ job security.) 2/
But many mommas haven't had access to high-quality childcare: either due to $$ considerations, or because their family could not tolerate the additional COVID risk associated with childcare, or for a host of other reasons. 3/
Read 7 tweets
Daniela Witten Profile picture
Mar 16, 2021
I am loving these recent threads from @j_l_godwin on ADHD + academia. Thank you for sharing your experiences, Jessica --- I have learned a lot, and this new knowledge will help me be a better teacher/mentor for students in the future.
Another one:
And another one:
Read 6 tweets
Daniela Witten Profile picture
Jan 17, 2021
Since you asked, yes, I will write a thread about the SVD.

The SVD solves the optimization problem in the screenshot (X is nxp).

The k columns of U and V are the 1st k left and right singular vectors of X, and the diagonal elements of D are the 1st k singular values

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"Nonnegative matrix factorization" is a bit broad but it is most often used to refer to the optimization problem in this screenshot, which -- as you can see -- is like a distant cousin of the SVD. Sometimes an orthogonality constraint may be placed on the columns of V.

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Unlike the SVD, which has a unique solution (up to sign flips of a given left/right singular vector pair), the NNMF isn't guaranteed to be unique (!!!!!??!!) ... see e.g. web.stanford.edu/~vcs/papers/NM…

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Read 6 tweets

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