144=24· 32 is the twelfth Fibonacci number (and the largest one to also be a square), and the maximum determinant in a 9×9 matrix of zeroes and ones is precisely 144 (source http://wikipedia…)
and on top of that nice cartoon by @RinaPiccolo, some writings worth reading
- “From Data Mining to Knowledge Discovery in Databases” http://aaai.org/ojs… via http://bigdata.hypotheses.org/23
- “Asylum seekers facing ‘49% chance of death, torture’ could be sent home” http://sbs.com.au/2014/06/25/… “49% chance of death or torture” nice !
- “Introducing ggvis” http://blog.rstudio.org/2014/06/23/… ht @hadleywickham waouh
- “UN member nations with border that aren’t highlighted by Google maps” ht http://reddit.com/r/MapPorn/…
- “How the US Government Helps McDonald’s Sell Junk Food” http://motherjones.com/environment/… ht @edoxx
- “73 percent of women said they often can’t even tell whether they’ve been on a date or not” http://vox.com/2014/…
- “The Clubs That Connect the World Cup” http://nytimes.com/interactive/…
- “Optical Illusions & Visual Phenomena” http://michaelbach.de/ot by Michael Bach e.g. “Sine Illusion” http://michaelbach.de/ot/…
- “Every taxi in NYC, every day in 2013, tracked by GPS” by @enf https://mapbox.com/blog/ ht @ericg
- “assessing the influence of the artistic visual presentation of food on the dining experience” http://flavourjournal.com/3/1/7
- “Unlocking Big Data’s Value Potential Through Design with Small Data” http://huffingtonpost.com/soren-petersen/… ht @DiegoKuonen
- “Another Factor Said to Sway Judges to Rule for Women’s Rights: A Daughter” http://nytimes.com/2014/…
- “World War I” http://online.wsj.com/articles/ … “The War That Changed Everything”
- “Will Google Enter The Insurance Industry?” http://techcrunch.com/2014/… by @hernaes
In a recently published report in cooperation with BCG India, Google concludes that insurance is among the top five product categories in which the web is the dominant purchasing channel in addition to travel, digital media, ticket purchases and books magazines. Common for the first four product categories is that the traditional sales channels have long been redundant as a result of digital disruption. The same report predicts that 75 percent of all insurance purchases will be online by 2020. If these predictions are accurate, it will give Google a dominant position as the primary sales channel for the insurance industry. Is the insurance industry the next industry where technology with Google as a key player disrupts the existing value chain? A review of Google’s acquisition activity and technology development provides an indication of what position Google is able to reach based on the insurance industry’s key revenue sources such as car, home, and life and health insurance. Google made its first move towards the insurance industry back in 2012 with the acquisition of BeatThatQuote, the price comparison service for car insurance, for £37 million. Looking at the numbers, Google charges up to $54 per click for insurance quote searches. In addition to this Google already has real-time monitoring of traffic through obtaining metadata from all Android devices moving along major roads, and is able to give accurate traffic reports through Google Now. The same real-time traffic information is potentially valuable analysis data for an insurance company. This hypothesis is strengthened by the fact that Google has taken initiative for the formation of the Open Automotive Alliance, which aims to promote Android as the standard platform for future entertainment systems, apps and other technology in cars. In January 2014, Google made its second-largest acquisition ever by acquiring thermostat and smoke detector manufacturer Nest Labs for $3.2 billion. According to Forbes, this will strengthen Google’s position in smart homes and provides an opportunity for the Android operating system to become the primary platform for the Internet of Things. The interesting question to ask is how the information obtained through smart metering and other household sensors can be used? A continuous and automatic monitoring of all electronics in a house is valuable information on an insurance object for both the pricing and settlement of claims. Connect this with the information already collected through Google Maps and Google Earth, and this would, for example, be the basis for a precise calculation of accumulated high risk in densely populated areas. [to be continued…]
- “Applying game theory to the behavior of genes provides a new view of natural selection” http://simonsfoundation.org/quanta/… about http://pnas.org/1406556111
- ‘World Cup 2014: How Teams Can Advance to the Next Round” http://nytimes.com/interactive/2014/ … interesting probabilities
- “Assessment of Waist-to-Hip Ratio Attractiveness in Women” http://link.springer.com/s10508-013-0166-1 via http://vox.com/2014/6/22/5832826/… see
- “The Ecological Consequences of Welfare Ranching” http://counterpunch.org/2014/ … “The Real Cost of a Hamburger”
- “Online Decision Making” http://forbes.com/sites/groupthink/… “What Really Drives Customers To Choose One Option Over Another?”
- “How Powerful Is Your Passport ?” http://awesome.good.is/infographics/…
- “So what’s the deal with the Birthday Paradox and the Word Cup Football?” http://allthingsdatascience.blogspot.ca/2014/… by @IstvanHajnal
- “Big data: Should it come with a big health warning?” http://bbc.com/news/business-27683581…
- number of non-academic administrative at U.S. universities has more than doubled in the last 25 years http://huffingtonpost.com/2014/02… ht @raulpacheco
- “I’ll pause for a moment so you can let this information sink in” http://newyorker.com/images/…
- “Average predictive comparisons” http://stat.columbia.edu/~gelman/research/… via @StatModeling‘s http://andrewgelman.com/2014/06/17/ …
- The way we see it your data belongs to you. So if someone should be making a profit on it, it should be you http://ozy.com/fast-forward/… ht @rasbt
- “When drones fall from the sky” on drone crashes by C. Whitlock part 1 http://washingtonpost.com/sf/investigative/… part 2 http://washingtonpost.com/sf/investigative/ … part 3 http://washingtonpost.com/sf/investigative/…
- science, according to @calvinandhobbes via @realscientists
- “Is Math Liberal?” http://motherjones.com/environment/… “Math is more than just calculations. Beneath it all lies a nuanced way of thinking.”
- “Animated Mean Center of Population for the United States: 1790 to 2010” via http://flowingdata.com/2014/ … and @goulu see
- “The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets” http://joelonsoftware.com/articles/…
- “More punk, less hell!” http://tagesanzeiger.ch/ausland/europa…
- … calling them “data” http://dilbert.com/strips/comic/2010-10-13/
et un peu de lecture en françaus,
- “on”, c’est singulier ou pluriel ? http://leconjugueur.lefigaro.fr/
- “Défiance envers la fouille de données (data mining) dans les années 60” http://bigdata.hypotheses.org/23 ht @egschmitt
- via @dthesmar “Taux de chômage et salaire moyen par niveau de diplôme en France (en 2011)”
- “Communication scientifique et diffusion médiatique : des mondes à deux vitesses” http://scilogs.fr/signal-sur-bruit/… ht @goulu
- “De Rock et d’Encre” http://hellfest2013.liveweb.arte.tv/
- “Les coalitions, le pouvoir des électeurs, et l’instabilité politique” http://stat.columbia.edu/~gelman/presentations/… (à Paris Dauphine) par @StatModeling
- “Tout le monde confond Big Data et Machine Learning” http://larevuedudigital.com/2014/06/… ht @inactinique
- “Les enjeux éthiques du Big Data : opportunités et risques” http://sfds.asso.fr/385 … sur le site de la @StatFr
- “J’ai vu des profs…” http://petitzucchini.com/2014/… (repéré par @dpernoux)
- incroyable http://leplus.nouvelobs.com/contribution/1216299 …
- Bonne St-Jean ! (photo de @marianik1968) Lundi soir, fête nationale dans Villeray
Did I miss something?
One thought on “Somewhere else, part 144”