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‘Turn websites into structured APIs from your browser in seconds’ — next-generation web scraping, recommended by conoro
(tags: via:conoro scraping web http kimono rss json csv data)
Following Fire Phone Flop, Big Changes At Amazon’s Lab126 | Fast Company | Business + Innovation
as one insider told me, it feels like “Lab126 is in the doghouse” and that “Jeff is taking out his frustration with the failure of the Fire Phone” on upper management.
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a conceptual model, with accompanying XML schema, that may be used to quantify and exchange complex uncertainties in data. The interoperable model can be used to describe uncertainty in a variety of ways including: Samples Statistics including mean, variance, standard deviation and quantile Probability distributions including marginal and joint distributions and mixture models
(tags: via:conor uncertainty statistics xml formats)
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How to secure SSH, disabling insecure ciphers etc. (via Padraig)
(tags: via:pixelbeat crypto security ssh ops)
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Make “Paste and Match Style” the default, as it should be
(tags: paste osx ui ux cut-and-paste)
Introducing practical and robust anomaly detection in a time series
Twitter open-sources an anomaly-spotting R package:
Early detection of anomalies plays a key role in ensuring high-fidelity data is available to our own product teams and those of our data partners. This package helps us monitor spikes in user engagement on the platform surrounding holidays, major sporting events or during breaking news. Beyond surges in social engagement, exogenic factors – such as bots or spammers – may cause an anomaly in number of favorites or followers. The package can be used to find such bots or spam, as well as detect anomalies in system metrics after a new software release. We’re open-sourcing AnomalyDetection because we’d like the public community to evolve the package and learn from it as we have.
(tags: statistics twitter r anomaly-detection outliers metrics time-series spikes holt-winters)