https://www.nytimes.com/2022/05/23/technology/data-privacy-laws.html
Liked the article & esp. the quote: “The core idea of digital sovereignty is that the digital exhaust created by a person…should be stored inside the country where it originated, or at least handled in accordance with privacy & other standards set by a government.”
However, shouldn’t a person (“a digital sovereign”?) have the right to store their data where they see fit – e.g. in another country from where they are?
Some thoughts on a good paper giving intuition on machine learning approaches
http://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf
http://dl.acm.org/citation.cfm?id=2347755
In particular, the paper gives good intuition about:
– overfitting (e.g. how it’s related to multiple testing & bias v variance)
– the curse of dimensionality (in high-D all neighbors look the same)
– the non-practicality of theoretical guarantees
– how different frontiers can give the same prediction
– ensembles (which reduce variance greatly without increasing bias that much)
– ensembles vs Bayesian model averaging (which essentially select the best model)
http://www.illumina.com/platinumgenomes/
A family trio (NA12877, NA12878, and NA12882) sequenced on a HiSeq 2000 system. An individual (NA18507) sequenced on a HiSeq 2500 system.
homes.cs.washington.edu/~pedrod/papers/cacm12.pdf
http://dl.acm.org/citation.cfm?id=2347755
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