The world’s largest hedge fund manager is banking on machines. Ray Dalio’s $165 billion Bridgewater Associates will start a new, artificial-intelligence unit next month with about half a dozen people, according to a person with knowledge of the matter. Continue reading Bridgewater Is Said to Start Artificial-Intelligence Team
The Wittgenstein Centre for Demography and Global Human Capital has created an interactive visualization of major migration patterns occurring from 1990-2010. The team behind the visualization used statistical missing data methods to approximate the true number of migrants, which is often difficult to identify due to illegal migration or varying recording and enforcement standards from country to … Continue reading Visualizing International Migration
Facebook announced a new service for companies that will allow them to better understand their customers. The service lets a marketer access anonymized user data to determine what they are saying about brands, activities, subjects, and events. Facebook expects this data will allow companies to better understand the needs of their consumers and therefore develop … Continue reading Facebook Introduces Data Tool to Better Understand Users
A new report from the Bill and Melinda Gates Foundation and the Bill, Hillary, and Chelsea Clinton Foundation cites data collection and analysis as a valuable tool in solving problems and measuring progress in the fight against gender inequality. The report, called “No Ceilings”, uses 850,000 data points on gender issues to identify progress and … Continue reading Gender equality report: an example of how big data can address big problems
On this weeks episode of TWiGH, we sit down with doctor, academic, statistician and public speaker- Prof. Hans Rosling, the man who makes data dance! Hans reflects on important demographic changes and the implications for global health. Continue reading Hans Rosling on Global Health
Patricia Arquette’s speech about the gender pay gap during Sunday night’s Oscars has the subject back on the public agenda, and with it the controversy over whether it’s really true that women earn 23 percent less than men. Max Ehrenfreund at the Washington Post writes that “some of that gap is due to women’s own … Continue reading Statistical controls tell us how the gender pay gap works, not that it isn’t real
Few people have been more closely associated with Deep Learning than Yann LeCun, 54. Working as a Bell Labs researcher during the late 1980s, LeCun developed the convolutional network technique and showed how it could be used to significantly improve handwriting recognition; many of the checks written in the United States are now processed with his … Continue reading Prof. Yann LeCun on His Quest to Unleash Deep Learning and Make Machines Smarter
The burgeoning open data movement has taken hold in federal agencies as well as state and local governments. Open data increases citizens’ confidence in government and fosters innovation and economic growth. Additionally, open data can improve agency operations as data is available in a central location. In the last year, the Department of Agriculture has … Continue reading US Department of Agriculture cultivates open data
Let Me Get That Data For You (LMGTDFY), a free, open source tool has been released most recently. It can create a machine-readable inventory of all the data files found on a given website quickly and automatically. Continue reading Dataset Inventorying Tool
Interesting article by Karolina Alexiou. Regarding mistake #1, I disagree. I do it all the time, and it’s faster than finding, understanding, and fine-tuning a piece of code that will work for you, unless you are looking for something basic such as computing correlations for weighted observations. If you are good, your reinvented wheel will … Continue reading Top Mistakes Developers Make When Using Python for Big Data Analytics
