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CEU MicroData

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CEU MicroData | blog.microdata.io Reviews
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CEU MicroData | Svbtle
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1 svbtle
2 menu
3 network
4 rss feed
5 about svbtle
6 ceu microdata
7 read this first
8 logistic regresssion
9 by miklós koren
10 by rita zágoni
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svbtle,menu,network,rss feed,about svbtle,ceu microdata,read this first,logistic regresssion,by miklós koren,by rita zágoni,reproducible plumbing,miklós koren,plumbing,by krisztián fekete,input,operation,explicitly,result,promise
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CEU MicroData | blog.microdata.io Reviews

https://blog.microdata.io

CEU MicroData | Svbtle

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blog.microdata.io blog.microdata.io
1

2+2<4

http://blog.microdata.io/224

CEU MicroData is writing on the Svbtle. September 2, 2014. Being precise in describing how we achieve a result is hard. It is not optional, though. Let’s look at the inequality. Since we have learnt. In primary school, the inequality looks strange. It might become true, though, if we extend it with further information–what the units are and what we mean by the operation. Might be a short-hand for some mud-making specialists for. 2 liters of sand mixed with 2 liters of water gives less than 4 liters of mud.

2

Python in service of reproducibility

http://blog.microdata.io/python-for-reproducibility

CEU MicroData is writing on the Svbtle. September 19, 2014. Python in service of reproducibility. The degree to which certain aspects of a research are reproducible depend on many factors. For intstance, in a complex research workflow it is hard to automate all the steps ranging from data preparation. Through analysis to packaging of data and code. Reducing the amount of tacit knowledge and ad hoc manual work can make the workflow easier to access and reproduce. As raw data we have biographical informati...

3

Looking for a post office? How about a 150,000 of them?

http://blog.microdata.io/looking-for-a-post-office-quadtree-to-the-rescue

CEU MicroData is writing on the Svbtle. August 26, 2014. Looking for a post office? How about a 150,000 of them? In a recent project. We proxy 19th-century local economic development with the number of post offices in the neighborhood. We have downloaded all historical post office names and dates from Jim Forte’s Postal History. With his permission) to create a geospatial database. How many post offices were there in Kings County, NY, in 1880? Fast, to be precise. To find the remaining points, we keep sp...

4

Which binary classification model is better?

http://blog.microdata.io/which-binary-classification-model-is-better

CEU MicroData is writing on the Svbtle. June 12, 2015. Which binary classification model is better? János K. Divényi. Receiver Operating Characteristic curve. Is a great tool to visually illustrate the performance of a binary classifier. It plots the true positive rate (TPR) or the sensitivity against the false. Positive rate (FPR) or 1 - specificity. Usually, the algorithm gives you a. Probability (e.g. simple. So for classification you need to choose a cutoff point. The FPR-TPR pairs for. We are classi...

5

Even Amazon needs economists

http://blog.microdata.io/even-amazon-needs-economists

CEU MicroData is writing on the Svbtle. December 1, 2014. Even Amazon needs economists. Suppose you’re Jeff Bezos contemplating a radical new thing for Amazon customers. How would you decide whether it’s worth it? How would economics, in particular, help you make a better decision? It brings two fundamental ideas to the table. First, that people respond to incentives. Transformed the world could not have been foreseen by A/B testing a prototype. None of this is new. The Nobel Laureate Robert Lucas. By Kr...

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CEU MicroData

CEU MicroData is writing on the Svbtle. Which binary classification model is better? János K. Divényi. Receiver Operating Characteristic curve. Is a great tool to visually illustrate the performance of a binary classifier. It plots the true positive rate (TPR) or the sensitivity against the false. Positive rate (FPR) or 1 - specificity. Usually, the algorithm gives you a. Probability (e.g. simple. So for classification you need to choose a cutoff point. The FPR-TPR pairs for. Is better than algorithm (1)?

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