jisaacso

10 ms·

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The Science of Crawl, Part 1: Deduplication of Web Content(blog.urx.com)
66 points by jisaacso 12y ago|7 comments
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by jisaacso 12y ago
There exists a hash of lat, long globally unique for each level of precision, a geohash [1]. One common application utilizes a space filling Hilbert curve to define an arbitrary precision bounding box around a set of coordinates. You can se
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by jisaacso 12y ago
URX (YC S13) - Core software engineer, Android engineer, Data scientist - San Francisco, CA URX is a fast growing, engineering-focused team with backgrounds in machine learning and e-commerce. We look for mission-driven people who have larg
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by jisaacso 13y ago
Check out https://www.facebase.org/ Facial prediction is still in its infancy but is an exciting area of research.
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by jisaacso 13y ago
Good catches. One point, "because they can be used to describe how quantities change over (continuous) time" I would argue that time series problems are common throughout data science. Uber's prediction of arrival time, Kaggl
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by jisaacso 13y ago
That's awesome to hear! Keep me posted as you work through some projects. I'm curious to hear how ODEs can help in environmental science.
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by jisaacso 13y ago
I would say it's under-appreciated in modern data science. It's well appreciated in applied mathematics.
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by jisaacso 13y ago
This will likely be downvoted to hell, but personally I'm a fan of the service 23andme provides. It has aggregated scientific knowledge across a large number of domains to provide an end-to-end pipeline for ancestry prediction, kinship
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by jisaacso 13y ago
To take it one step further, I don't necessarily trust studies linking genomic variants with disease significance. A subset derive correlations using oversimplified models: http://www.ncbi.nlm.nih.gov/pubmed/237705
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by jisaacso 13y ago
You can potentially predict a male's surname from a DNA sample. The accuracy is roughly proportional to the frequency of the name. http://www.sciencemag.org/content/339/6117/321.abstract