After years of innovation and research in #ML, #DataAnalytics and particularly #RecommenderSystems field, it turned out to be better to just ask your users what they want to see)))
https://t.co/TLah4feCUI
Introducing TT-Rec, a new method to dramatically shrink memory-intensive Deep Learning Recommendation Models and make them easier to deploy at scale. https://t.co/IiGmIakkZZ
Counsel for iFinex Inc - parent company of Tether and Bitfinex - have requested another 30 days to produce critical trial documents for its ongoing legal battle with the NYAG. https://t.co/wUDc3QjeC3
Slides from my talk yesterday at the Netflix Expo at #RecSys2020 about "Recent Trends in Personalization at Netflix" covering some areas that we're working on at @NetflixResearch plus plenty of open challenges https://t.co/XcbVhRuyUv
1/8 What does it mean to filter an image (or signal)? Often we choose, or design, a set of weights and apply them to the input image. But what loss/objective function does this process optimize (if any)? Should we care?
Twitter is partnering with @recsyschallenge for 2020! We are releasing a huge dataset and we hope you will try train a model on it.
Looking forward to seeing all the submissions!
@ACMRecSys
https://t.co/4LGGSZUM58
Microsoft researchers and engineers release Zero Redundancy Optimizer (ZeRO) and DeepSpeed library, a system able to train 100-billion-parameter deep learning models. Learn about this breakthrough and how it led to Turing Natural Language Generation: https://t.co/NY75qYd07a