1e | 5 years ago | on: The Next Decade Could Be Even Worse
Thank you for the succinct summary. You might be interested in one theory on why Elizabeth Warren was so popular: https://americanaffairsjournal.org/2019/11/the-real-class-wa...
1e's comments
1e | 5 years ago | on: Hunting for Malicious Packages on PyPI
i really enjoyed this write up. i am glad someone far smarter than me is thinking about this problem.
1e | 5 years ago | on: Launch HN: Deepnote (YC S19) – A better data science notebook
jupyter = julia + python + r
1e | 6 years ago | on: How Transformers Work (2019)
in my experience, it is more useful to view neural nets as geometric transformations - via stateful functions - that map stuff in input space (eg a sentence written in english) to stuff in some other space (eg the same sentence written in french).
by viewing neural nets (and machine learning, in general) from a mathematical perspective, you can readily exploit an entire field of tools and techniques (eg numerical optimization) and clearly define objective functions to train against - benefits that you dont necessarily get by viewing ml from a biological perspective.
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