Jacob Silterra
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Statistical Modeling, Causal Inference, and Social Science. I recommend as an easy default option. Are you ready to go fishing in the data lake? Posted by Aki Vehtari.
In a mad world, all blogging is psychiatry blogging. Effective altruism is becoming more and more about funding computer science research to forestall an artificial intelligence provoked apocalypse. Here is the latest effective altruist survey.
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Classifying and visualizing with fastText and tSNE. December 11, 2017. I wrote a three-part series on classifying text, in which I walked through the creation of a text classifier from the bottom up. It was interesting but it was purely an academic exercise. Here Im going to use methods suitable for scaling up to large datasets, preferring tools written by others to those written by myself. The end goal is the same classifying and visualizing relationships between blocks of text. Continue reading .PARSED CONTENT
The web site states the following, "Classifying and visualizing with fastText and tSNE." We noticed that the web site also said " I wrote a three-part series on classifying text, in which I walked through the creation of a text classifier from the bottom up." It also said " It was interesting but it was purely an academic exercise. Here Im going to use methods suitable for scaling up to large datasets, preferring tools written by others to those written by myself. The end goal is the same classifying and visualizing relationships between blocks of text."ANALYZE SIMILAR BUSINESSES
For The Baffler I wrote about the uneasy encroachments of facial recognition. And about the heroic activism of the Parkland students. And in The New Republic, I have an essay. The essay is based on new books by Leslie Berlin and Noam Cohen.
Data science graduate student by day, pretty much the same thing at night. Poor Donald - his tweets keep getting more negative. Last summer, David Robinson did this interesting text analysis.
How we want to be. It sounds silly, but I think most goals are rooted in a yearning to fit an archetype of some sort or the other. Instead of trying to master a style or a.