ENTRIES TAGGED "analytics"
- SAMOA — Yahoo!’s distributed streaming machine learning (ML) framework that contains a programming abstraction for distributed streaming ML algorithms. (via Introducing SAMOA)
- madlib — an open-source library for scalable in-database analytics. It provides data-parallel implementations of mathematical, statistical and machine-learning methods for structured and unstructured data.
- Data Portraits: Connecting People of Opposing Views — Yahoo! Labs research to break the filter bubble. Connect people who disagree on issue X (e.g., abortion) but who agree on issue Y (e.g., Latin American interventionism), and present the differences and similarities visually (they used wordclouds). Our results suggest that organic visualisation may revert the negative effects of providing potentially sensitive content. (via MIT Technology Review)
- Disguise Detection — using Raspberry Pi, Arduino, and Python.
Open Source BigTable, Robots Lost, Changing the World, Secrecy Binge
- Accumulo — NSA’s BigTable implementation, released as an Apache project.
- How the Robots Lost (Business Week) — the decline of high-frequency trading profits (basically, markets worked and imbalances in speed and knowledge have been corrected). Notable for the regulators getting access to the technology that the traders had: Last fall the SEC said it would pay Tradeworx, a high-frequency trading firm, $2.5 million to use its data collection system as the basic platform for a new surveillance operation. Code-named Midas (Market Information Data Analytics System), it scours the market for data from all 13 public exchanges. Midas went live in February. The SEC can now detect anomalous situations in the market, such as a trader spamming an exchange with thousands of fake orders, before they show up on blogs like Nanex and ZeroHedge. If Midas sees something odd, Berman’s team can look at trading data on a deeper level, millisecond by millisecond.
- PRISM: Surprised? (Danny O’Brien) — I really don’t agree with the people who think “We don’t have the collective will”, as though there’s some magical way things got done in the past when everyone was in accord and surprised all the time. It’s always hard work to change the world. Endless, dull hard work. Ten years later, when you’ve freed the slaves or beat the Nazis everyone is like “WHY CAN’T IT BE AS EASY TO CHANGE THIS AS THAT WAS, BACK IN THE GOOD OLD DAYS. I GUESS WE’RE ALL JUST SHEEPLE THESE DAYS.”
- What We Don’t Know About Spying on Citizens is Scarier Than What We Do Know (Bruce Schneier) — The U.S. government is on a secrecy binge. It overclassifies more information than ever. And we learn, again and again, that our government regularly classifies things not because they need to be secret, but because their release would be embarrassing. Open source BigTable implementation: free. Data gathering operation around it: $20M/year. Irony in having the extent of authoritarian Big Brother government secrecy questioned just as a whistleblower’s military trial is held “off the record”: priceless.
Machine Learning Demos, iOS Debugging, Industrial Internet, and Deanonymity
- MLDemos — an open-source visualization tool for machine learning algorithms created to help studying and understanding how several algorithms function and how their parameters affect and modify the results in problems of classification, regression, clustering, dimensionality reduction, dynamical systems and reward maximization. (via Mark Alen)
- kiln (GitHub) — open source extensible on-device debugging framework for iOS apps.
- Industrial Internet — the O’Reilly report on the industrial Internet of things is out. Prasad suggests an illustration: for every car with a rain sensor today, there are more than 10 that don’t have one. Instead of an optical sensor that turns on windshield wipers when it sees water, imagine the human in the car as a sensor — probably somewhat more discerning than the optical sensor in knowing what wiper setting is appropriate. A car could broadcast its wiper setting, along with its location, to the cloud. “Now you’ve got what you might call a rain API — two machines talking, mediated by a human being,” says Prasad. It could alert other cars to the presence of rain, perhaps switching on headlights automatically or changing the assumptions that nearby cars make about road traction.
- Unique in the Crowd: The Privacy Bounds of Human Mobility (PDF, Nature) — We study fifteen months of human mobility data for one and a half million individuals and find that human mobility traces are highly unique. In fact, in a dataset where the location of an individual is specified hourly, and with a spatial resolution equal to that given by the carrier’s antennas, four spatio-temporal points are enough to uniquely identify 95% of the individuals. We coarsen the data spatially and temporally to find a formula for the uniqueness of human mobility traces given their resolution and the available outside information. This formula shows that the uniqueness of mobility traces decays approximately as the 1/10 power of their resolution. Hence, even coarse datasets provide little anonymity. These findings represent fundamental constraints to an individual’s privacy and have important implications for the design of frameworks and institutions dedicated to protect the privacy of individuals. As Edd observed, “You are a unique snowflake, after all.” (via Alasdair Allan)
- A Quantitative Literary History of 2,958 Nineteenth-Century British Novels: The Semantic Cohort Method (PDF) — This project was simultaneously an experiment in developing quantitative and computational methods for tracing changes in literary language. We wanted to see how far quantifiable features such as word usage could be pushed toward the investigation of literary history. Could we leverage quantitative methods in ways that respect the nuance and complexity we value in the humanities? To this end, we present a second set of results, the techniques and methodological lessons gained in the course of designing and running this project. Even litcrit becoming a data game.
- Easy6502 — get started writing 6502 assembly language. Fun way to get started with low-level coding.
- How Analytics Really Work at a Small Startup (Pete Warden) — The key for us is that we’re using the information we get primarily for decision-making (should we build out feature X?) rather than optimization (how can we improve feature X?). Nice rundown of tools and systems he uses, with plug for KissMetrics.
Malware Industrial Complex, Indies Needed, TV Analytics, and HTTP Benchmarking
- Welcome to the Malware-Industrial Complex (MIT) — brilliant phrase, sound analysis.
- Stupid Stupid xBox — The hardcore/soft-tv transition and any lead they feel they have is simply not defensible by licensing other industries’ generic video or music content because those industries will gladly sell and license the same content to all other players. A single custom studio of 150 employees also can not generate enough content to defensibly satisfy 76M+ customers. Only with quality primary software content from thousands of independent developers can you defend the brand and the product. Only by making the user experience simple, quick, and seamless can you defend the brand and the product. Never seen a better put statement of why an ecosystem of indies is essential.
- Data Feedback Loops for TV (Salon) — Netflix’s data indicated that the same subscribers who loved the original BBC production also gobbled down movies starring Kevin Spacey or directed by David Fincher. Therefore, concluded Netflix executives, a remake of the BBC drama with Spacey and Fincher attached was a no-brainer, to the point that the company committed $100 million for two 13-episode seasons.
- wrk — a modern HTTP benchmarking tool capable of generating significant load when run on a single multi-core CPU. It combines a multithreaded design with scalable event notification systems such as epoll and kqueue.
Handmade Hardware, Tab Silencer, Surprise and Models, and Sciencey GIFs
- Your USB Sticks Are Made With Chopsticks (Bunnie Huang) — behind-the-scenes on how USB sticks are made.
- mutetab — find and kill the Chrome tab making all the damn noise! (via Nelson Minar)
- Visualization, Modeling, and Surprises (John D Cook) — paraphrases Hadley Wickham: Visualization can surprise you, but it doesn’t scale well. Modelling scales well, but it can’t surprise you.
- Head Like an Orange — science animated GIFs, assembled from nature documentaries. (via Ed Yong)
Free Books, Analytics Goofs, Book Boilerplate, and Learn CS with the Raspberry Pi
- Free Book Sifter — lists all the free books on Amazon, has RSS feeds and newsletters. (via BoingBoing)
- Whom the Gods Would Destroy, They First Give Realtime Analytics — a few key reasons why truly real-time analytics can open the door to a new type of (realtime!) bad decision making. [U]ser demographics could be different day over day. Or very likely, you could see a major difference in user behavior immediately upon releasing a change, only to watch it evaporate as users learn to use new functionality. Given all of these concerns, the conservative and reasonable stance is to only consider tests that last a few days or more.
- Web Book Boilerplate (Github) — uses plain old markdown and generates a well structured HTML version of your written words. Since it’s sitting on top of Pandoc and Grunt, you can easily make your books available for every platform. MIT-style license.
- Raspberry Pi Education Manual (PDF) — from Scratch to Python and HCI all via the Raspberry Pi. Intended to be informative and a series of lessons for teachers and students learning coding with the Raspberry Pi as their first device.
Win95 Tips, Obama's Big Data, Aggregate Statistics, and Foxconn Robots
- Windows 95 Tips — hilarious tumblr showing the dark side of life through Windows 95 UI tips. (via Juha Saarinen)
- Everything We Know About Obama’s Big Data Operation (Pro Publica) — “White suburban women? They’re not all the same. The Latino community is very diverse with very different interests,” Dan Wagner, the campaign’s chief analytics officer, told The Los Angeles Times. “What the data permits you to do is figure out that diversity.”
- cube (GitHub) — time-series data collection and analysis. Cube lets you compute aggregate statistics post hoc. It also enables richer analysis, such as quantiles and histograms of arbitrary event sets. Cube is built on MongoDB and available under the Apache License on GitHub.
- 1M Robots to Replace 1M Human Jobs at Foxconn (Singularity Hub) — Foxconn plant opening, making manufacturing robots, and they appear to be dogfooding by using them in other plants. $25k each, 10k+ made, and fits into the pattern: the number of operational robots in China increased by 42 percent from 2010 to 2011.
Sandy's Latency, Better Buttons, Inside Chargers, and Hidden Warranties
- Fastly’s S3 Latency Monitor — The graph represents real-time response latency for Amazon S3 as seen by Fastly’s Ashburn, VA edge server. I’ve been watching #sandy’s effect on the Internet in real-time, while listening to its effect on people in real-time. Amazing.
- Button Upgrade (Gizmodo) — elegant piece of button design, for sale on Shapeways.
- Inside a Dozen USB Chargers — amazing differences in such seemingly identical products. I love the comparison between genuine and counterfeit Apple chargers. (via Hacker News)
- Why Products Fail (Wired) — researcher scours the stock market filings of publicly-listed companies to extract information about warranties. Before, even information like the size of the market—how much gets paid out each year in warranty claims—was a mystery. Nobody, not analysts, not the government, not the companies themselves, knew what it was. Now Arnum can tell you. In 2011, for example, basic warranties cost US manufacturers $24.7 billion. Because of the slow economy, this is actually down, Arnum says; in 2007 it was around $28 billion. Extended warranties—warranties that customers purchase from a manufacturer or a retailer like Best Buy—account for an estimated $30.2 billion in additional claims payments. Before Arnum, this $60 billion-a-year industry was virtually invisible. Another hidden economy revealed. (via BoingBoing)