@srchvrs One advantage of Naive Bayes: it's a simple and fast classification method (training is essentially just counting vs. an iterative method like for the otherwise superior multinomial regression)
Average height by occupation and gender, based on Wikidata
https://t.co/Amshhvlpju
For example, female volleyball players are taller than male golfers (on the average).
#aqueryaday
@lintool 2/ If you write larger amounts of code without extensive unit tests, it will not be correct. If you publish complex results without a precise replicability setup, the results will not be correct.
@lintool 1/ Drummond's main argument is that replicability "would serve as little more than a policing tool, preventing outright fraud." He misses the point. The problem is not fraud, the problem is correctness.
@srchvrs My experience with ChatGPT is that in an actual conversation, you don't mind waiting for a few seconds if the answer is good. One Q&A cycle is then more like a sequence of multiple Google searches
10 Things You Need to Know About BERT and the Transformer Architecture That Are Reshaping the AI Landscape
This super comprehensive post covers most things that are important in current NLP including BERT, transfer and avocado chairs 🥑
by @cathalhoran
https://t.co/Hn458pkrk8
@annargrs 👇It was very interesting to read your carefully written opinion piece. Coincidentally, there is another non-trivial NIPS-style experiment and it is published. It doesn't go too much in the description of biases, but main conclusions align well:
https://t.co/UbvpN6QTy3
The ESA 2018 Track B Experiment: An in-depth analysis of two parallel program committees reviewing the complete set of submissions independently of each other. Read the slides, the results are quite interesting
https://t.co/jWGhMwJPgg