troelsSteegin

25 ms·

241.
by troelsSteegin 6y ago
The project [0] looks more like a peer to ObservableHQ [1], in the sense that both appear to be working toward combining editing source, REPL, visualization, and collaboration into an broadly adopted platform. Jupyter-next. From my perspect
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by troelsSteegin 6y ago
For up to date work, see the MU Collective [0]: "We are a cross-institution research lab working at the intersection of information visualization and uncertainty communication. Our mission is to improve both experts' and lay peopl
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by troelsSteegin 6y ago
It depends, of course. Are you making decisions in situations that are familiar or unfamiliar? Is this a one-time or recurring decision? What's at stake - is there a lot to lose, or perhaps is it a question of optimizing. What informat
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by troelsSteegin 6y ago
This is a review paper. It's long. Past the first sentence I find it readable and well organized. It mentions some of the work on interpretability I'd expect to see, Finale-Velez, Rudin, Wallach, and LIME, but does not appear to m
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by troelsSteegin 6y ago
Pragmatically, it's defense, and then offense. Operationally, hunkering down needs to be rigorous. For me, the most interesting bits are at the tail, on offense. Locate potential markets as going up or down and ephemerally due to COVID
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by troelsSteegin 6y ago
An observer can't tell if you are successful or not. But are not Schrödinger's cat questions typical in quantum computing?
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by troelsSteegin 6y ago
The Microsoft blog post, from Nik Molnar, wasn't linked by TC. It's here: https://devblogs.microsoft.com/visualstudio/introducing-visu...
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by troelsSteegin 6y ago
My takeaway from this: 1) don't overthink a problem 2) observe norms 3) meet expectations. In other words, simply be reliable.
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by troelsSteegin 6y ago
eg, https://drawsql.app/templates/diagrams/wordpress-mysql?ref=e... +1 that the logo affordance is too subtle to make the full feature set easily discoverable from a schema page. The Export function in the full ed
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by troelsSteegin 7y ago
What is the difference between "viable" and "complete"? Complete, as in "Simple, Lovable, Complete", is about your customer's ability to derive net utility from using your product for their job to be done.
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by troelsSteegin 7y ago
A tool from Bareinboim is mentioned in a Technology Review article [1] on causal reasoning in AI. Per the article Pearl considers Bareinboim to be a protege. quoting: "One of his systems, which is still in beta, can help scientists det
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by troelsSteegin 7y ago
Elias Bareinboim [1] mentions "we are beta-testing a tool called ‘Fusion’, which offers an easy-to-use way of doing causal inference from 1st principles" [2]. Tantalizing, but I've not yet seen anything else about 'Fusio
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by troelsSteegin 7y ago
Personally, I think through writing. My first draft is what I write to help me understand a problem or an idea. That's good for me, but not so good for you. Useful writing addresses someone else's need. The questions are "who
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by troelsSteegin 7y ago
Even an idiot is right twice a day?
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by troelsSteegin 7y ago
This is a how-to article on a difficult administrative procedure --laying off employees. What stands out for me is the emphasis on employee dignity. As a manager, the layoff might feel like its about you, but it's really about them. Ac
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by troelsSteegin 7y ago
... and the story here is that it can be a real stretch to recognize the value in slimy behavior.
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by troelsSteegin 7y ago
The menu of papers for the associated class, https://heather.miller.am/teaching/cs7680/ , looks really rich. The class is from 2016. Looks like the book dates from 2016-2017. My first impression was that this was w
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by troelsSteegin 7y ago
ISA == Income Share Agreement. via https://lambdaschool.com/isa
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by troelsSteegin 7y ago
I appreciate the systems perspective and find the writeup useful. However, from a production perspective, I think security should be topic one.
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by troelsSteegin 7y ago
Talk with the lead. Share your concerns, as a member of the team, about how the team's needs are not being met. Be specific. In this situation, you did or didn't do something, and it had this effect.
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by troelsSteegin 9y ago
the app is in leveraging the rider's actual experience ... each time the rider rides the bus, she records the time of arrival - eg takes a photo of the bus - and builds a record of actual arrival times. the app makes predictions about
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by troelsSteegin 9y ago
+1, these are a really nice overview. I think CS189 would fit nicely as an advanced class in the UCB Data Science curriculum, http://data.berkeley.edu/courses .