A series of courses on “Tiny ML” taught by Vijay Janapa Reddi, @lmoroney @petewarden on @edXOnline
— hardmaru (@hardmaru) November 22, 2020
Details: https://t.co/mjvBstjhCWhttps://t.co/nMbHX3xUP3
A series of courses on “Tiny ML” taught by Vijay Janapa Reddi, @lmoroney @petewarden on @edXOnline
— hardmaru (@hardmaru) November 22, 2020
Details: https://t.co/mjvBstjhCWhttps://t.co/nMbHX3xUP3
Survey of "Seq. Knowledge Distillation" (https://t.co/fmL7XeMrCl) for #sustainlp
— Sasha Rush (@srush_nlp) November 19, 2020
Covers main technique, use in compression, extensions, and many of the wild unanticipated use-cases (adv. attacks, NAT, transfer)
Talk: https://t.co/fmL7XeMrCl pic.twitter.com/mf3fePAVJy
🤩 Fab, quick guide to parameterized reporting (w/ code and video):
— Mara Averick (@dataandme) October 28, 2020
⚡️ “How to Automate PDF Reporting with R” by @mdancho84 https://t.co/IecRtHpIys via @bizScienc #rstats pic.twitter.com/EoiV53jjym
Now available to take for free online: MIT's class on Machine Learning in Healthcare.
— MIT CSAIL (@MIT_CSAIL) October 26, 2020
Videos, slides, notes & more: https://t.co/USoIwqpQuM#MondayMotivation #MLforHC #HealthcareAI #aihealthcare pic.twitter.com/mXaeoq73KK
My @GlobAICommunity talk on @spacy_io v3.0 is now live! In it, I'm walking through some of the most exciting new features & the ideas behind them.
— Ines Montani 〰️ (@_inesmontani) October 26, 2020
📺 Video: https://t.co/dRQbyZKlnq
🌙 spaCy v3.0 nightly: https://t.co/cpUa14hZTr
💥 Blog post: https://t.co/OfC6AYlJPU pic.twitter.com/ioYD1hfjvT
This 10 min recording shows machine-learning (ML) folks how to join the age of causal inference (CI) with minimal effort, and teaches CI folks how to estimate their hard-earned estimands using ML techniques https://t.co/KarhIo9H5t
— Judea Pearl (@yudapearl) October 26, 2020
See also https://t.co/XasptX38vh
I recorded an extended version of my offline RL talk, as practice for a live presentation earlier this week: https://t.co/DvnjzagxsN
— Sergey Levine (@svlevine) October 20, 2020
Covers the following:
AWAC: https://t.co/JYyprRInhR
MOPO: https://t.co/53VtOZKbcx
CQL: https://t.co/TYL7RTNbO7
D4RL: https://t.co/MvBXpSghkM
Batch Normalization, now in video.
— Brandon Rohrer (@_brohrer_) October 12, 2020
This narrated post covers the motivation behind batch norm and all of the cool things it does for your model. https://t.co/aezKCTwNLu pic.twitter.com/llesUqUMyS
Videos, Jupyter notebooks, and transcripts in 11 languages of my NYU course on Deep Learning, taught with @alfcnz last Spring.
— Yann LeCun (@ylecun) October 7, 2020
Grazie mille to @alfcnz for putting it all together and to the volunteers for the transcripts.
Course website: https://t.co/5IRlrE9IWY
Blog post: https://t.co/MH23a8qgou
🔥New Video🔥Convolutions are DEAD as Transformers continue to ruin absolutely everything 😱 New SotA on ImageNet, VTAB, etc using only Transformers + massive data 👑 Also Peer Review is broken. Watch Now!👀https://t.co/aQllZoKfdf@GoogleAI @giffmana @__kolesnikov__ @XiaohuaZhai pic.twitter.com/6jJf9FC3kw
— Yannic Kilcher (@ykilcher) October 4, 2020
Want to learn how to use TensorFlow to create TFRecords for Tensor Processing Units? Check out this notebook walkthrough from Kaggle AI Educator @ryanpholbrook! [WATCH] https://t.co/PEPU5ea5as pic.twitter.com/jXdjukGotZ
— Kaggle (@kaggle) September 29, 2020
An overview of the the Machine Learning Infrastructure at Netflix. Genre prediction, Screenplay Analysis, CDN caching, and more. https://t.co/IFPITaO9Vf pic.twitter.com/hYYf1UH2n8
— Reza Zadeh (@Reza_Zadeh) September 29, 2020