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Two new Kaggle competitions: The Winton Stock Market Challenge (prize: $50.000) and Walmart Recruiting: Trip Type Classification (prize: recruiting). You might find me competing in the first one, though I am starting to have my doubts about the purpose of the whole thing.
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How to De-identify Your Data. Balancing statistical accuracy and subject privacy in large social-science data sets.
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Artificial intelligence is coming to a surveillance camera near you. From the article: There is something inherently unnerving about the thought of an non-human intelligence observing us through our own devices — and yet, thanks to the SmartSpaces project being undertaken at Carnegie Mellon University, we may soon have such a future to look forward to.
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Russian Ships Near Data Cables Are Too Close for U.S. Comfort. From the article: Russian submarines and spy ships are aggressively operating near the vital undersea cables that carry almost all global Internet communications, raising concerns among some American military and intelligence officials that the Russians might be planning to attack those lines in times of tension or conflict.
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Estimating Delivery Times: A Case Study In Practical Machine Learning. From the article: With the release of Postmates 3.0, I had the opportunity to apply [machine learning tools][...]. I would like to share with you some insights I gained from the development process for Estimated Delivery Time, and hopefully illustrate how powerful the proper application of some simple and accessible Machine Learning techniques can be when applied to the right problem.
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Academia to Industry: Data Science Myths and Truths. From the article: Before I decided to make the jump from my postdoc in particle physics to a new career in the data science space, I had a few doubts about whether or not I’d be a good fit outside of academia. These doubts were compounded by the fact that most of my colleagues and mentors, while supportive, were not in a position to offer unbiased advice to help me understand if I was making the right decision, as they had never worked outside the university/lab setting themselves. This resulted in developing a few pre-conceived notions of what I thought data science was, which I slowly realized were not accurate after speaking to more data scientists and leaders in industry.
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NarcoData is a new collaboration that aims to track and visualize the drug cartels of Mexico. From the article: NarcoData, a collaboration between Mexican digital news site Animal Politico and data journalism platform Poderopedia, launched Tuesday with a mission to shine light on organized crime and drug trafficking in Mexico. Here is the site, in Spanish.
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R package "statcheck": Extract statistics from articles and recompute values.
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If, as myself, you are starting to feed the urge to learn D3, here is a wonderful free book (on-line version): Interactive Data Visualization for the Web
Data Links #23
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