On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models
— AK (@_akhaliq) September 13, 2022
abs: https://t.co/pJJaIJnEOK pic.twitter.com/0RS52ny7S2
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models
— AK (@_akhaliq) September 13, 2022
abs: https://t.co/pJJaIJnEOK pic.twitter.com/0RS52ny7S2
Lecture notes on Information Retrieval, a survey of the field:
— Radek Osmulski 🇺🇦 (@radekosmulski) September 12, 2022
• various text representations for ranking explained
• multiple archs covered:
• conv nets
• pre-trained LMs
• encoder & encoder-decoder models
• available on arxiv
Source: https://t.co/xcuiJAnvkw pic.twitter.com/JD2dnCNuOg
Part 2 of "Casual Forecasting at Lyft" is out! Excited they can share how we built a reliable, holistic model of Lyft's entire business.
— Sean J. Taylor (@seanjtaylor) September 6, 2022
Great post by my former teammates @DuaneJRich and @SameerSManek (+ @heng_kuang_ was heavily involved in the project).https://t.co/De6gCcCNBw
George Hotz live-coding stable diffusion in tinygrad https://t.co/RR8Ewrdo5f via @YouTube
— Eric Jang (@ericjang11) September 5, 2022
“What is the explanation for why deep learning works? I understand backprop and gradient descent, but why should over-parametrized networks actually converge to anything useful?”https://t.co/uulgOtNBNz
— hardmaru (@hardmaru) September 4, 2022
What is the one resource I would recommend for anyone getting into RecSys?
— Radek Osmulski 🇺🇦 (@radekosmulski) September 2, 2022
This lecture by @xamat.
• it covers several foundational methods
• more importantly, it will teach you how to think about RecSys problems
Here are a couple of highlights:https://t.co/hCUWhQvWPs
My lab at @HarvardDBMI has now freely made available 📢50 educational lecture videos 📢.
— Pranav Rajpurkar (@pranavrajpurkar) August 19, 2022
These cover (1) breakthroughs in deep learning, esp. self-supervised learning + multimodal learning (2) the intersection of AI & medicine (3) how to do AI research.https://t.co/SSDRELWAfo
Here's a Pandas trick to add order to categorical values. 🤯🐼 pic.twitter.com/8JD4AkfEzS
— Matt Harrison (@__mharrison__) August 13, 2022
Can one deliver a RecSys masterclass with a focus on
— Radek Osmulski 🇺🇦 (@radekosmulski) August 12, 2022
• online vs batch predictions
• monitoring: data distribution shifts
• model deployment
in 25 minutes? 🤔
Apparently, @chipro can! 🙂 A must-watch
Link to video: pic.twitter.com/gWWUI7WGbc
I really enjoyed this GPU programming course:https://t.co/eYmqzrk1eq
— Jeremy Howard (@jeremyphoward) August 11, 2022
Another common myth: the number of training data points has to be larger than the number of model parameters.
— Sebastian Raschka (@rasbt) August 8, 2022
Btw, the full code is here: https://t.co/KYYnlB4fn3
Want to tinker with the 200M+ protein structures from AlphaFold in your favorite DataFrame format (pandas!)⁉️
— Sebastian Raschka (@rasbt) August 6, 2022
Thanks to a kind contribution by @arian_jamasb, this is now possible in the latest BioPandas dev version as of this morning!https://t.co/CO6DnCcEb2 https://t.co/K4edTcqs27 pic.twitter.com/2fO7bBv172