iiinova — where your digital self keeps evolving

Replies

sardean @sardean.bsky.social · 21/07/2025

however, I do think the deep models are promising, particularly because its easy for non-experts to incorporate new data sources as inputs. Credit to my brother for this perspective! www.nytimes.com/2025/07/13/b...

nytimes.com

The Future of Weather Prediction Is Here. Maybe.

110

sardean @sardean.bsky.social · 21/07/2025

But more generally, this seems like a repeated pattern for deep learning. One of the main advantages is how flexible the models are, and how many disparate types of inputs they can be trained to use. This is in contrast to physics based or simpler ML models.

110

sardean @sardean.bsky.social · 21/07/2025

E.g. at netflix "we initially did not observe significant improvements in performance over well-tuned non-deep-learning approaches. Only when we added numerous features of heterogeneous types to the input data, deep-learning models did start to shine in our setting" ojs.aaai.org/aimagazine/i...

ojs.aaai.org

Deep Learning for Recommender Systems: A Netflix Case Study | AI Magazine

120