📣 Book club announcement: "Deep Learning and Scientific Computing with R torch" (https://t.co/O3WdFzBvsH). Dates/times TBD. Join via https://t.co/7QFaaXRExz (click the slack link, then in slack search for the book_club-torch channel). There you can vote on a meeting time.
📣 Book club announcement: "Deep Learning and Scientific Computing with R torch" (https://t.co/O3WdFzBvsH). Dates/times TBD. Join via https://t.co/7QFaaXRExz (click the slack link, then in slack search for the book_club-torch channel). There you can vote on a meeting time.
The November issue of @ChanceStatsMag was my last as executive editor. It was a fun experience. Best wishes to next editor, Wendy Martinez!
📰 Full issue: https://t.co/GNXKvLFKB6
✉️ Editor's letter: https://t.co/Wncmh8pjmG
This book shows you how to get started with deep learning in R, even if you have no background in mathematics or data science.
Tomasz Kalinowski co-author of Deep Learning with R, 2nd Edition introduces you to the book: https://t.co/CFJfcbhjK6
@rstudio#deeplearning#RStats
It’s here — my copy of @ChanceStatsMag!
I had the honor of guest editing this issue — Dispatches from the Frontlines of Data Science and Statistics for Good — with my @SWBProbono colleague Dr. @DavinaDurgana and @DataKind counterpart Dr. @augustincaitlin.
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Really enjoyed hosting this (virtual) session this morning!
At the same time I miss meeting in person. Hope to see everyone at JSM2022 in DC next year!