presidential election data sets - polling, sentiment, etc.[reddit]/r/datasets
There has to be a better alternative to current polling practices to predict the outcome of the presidential election. I'm trying to find any and all relevant data sets that could be used as an input to a model to predict results for the upcoming election. Considering data sets reflecting, demographics, twitter sentiment, current polling insights, etc. What else do you think would be good to consider?
Chat me if you'd like to help me find a better way to project the results!!
@fhuszar excellent thread. curious: based on your experience with such *saliency models in general* would you expect: 1) input the model sees to match these transformed images 2) the model uses the full image 3) these binary(ish) decisions would not necessarily be symmetric or transitive [twitter]
The ability to imagine out-of-distribution goals is key to enable creative discoveries and open-ended learning. Children do so by leveraging the compositionality of language as a tool to imagine descriptions of outcomes they never experienced before. [arxiv.org][twitter]Because CGH performs well in our setup with a medium precision (0.45) and because similar mechanisms were successfully used for data augmentation in complex NLP tasks , we believe our goal imagination heuristic could scale to more realistic language
Exciting paper "The Mind of a Mouse" by Viren Jain (@stardazed0) of @GoogleAI et al. (25 institutions represented!) "Roughly 1 million TB of data will need to be acquired & analyzed to provide a complete mouse brain connectome that includes ... all synaptic connections." [twitter]
Hey guys! I'm trying to find a dataset that consists of tuberculosis x-rays. I've already found two from the national library of medicine and one from Kaggle, I just wanted to know if there are any others out there.
Very cool paper on training Siamese nets to identify whether two states of a physical system belong to the same trajectory or not. The networks appear to discover symmetries and conservation laws. [twitter]