|
Data Science News
|
New Keyword Extractor: smarter and more flexible
|
MonkeyLearn blog
from May 20, 2015
We are excited to announce that we have made several improvements to our Keyword Extractor. You can try it for free here, you just need a MonkeyLearn account.
This module extracts keywords from text in English. Keywords can be compounded by one or more words and are defined as the important topics in your content and can be used to index data, generate tag clouds or for searching.
|
|
The 3 Most Important Trends to Watch in Social Media Stocks (FB, GOOG, GOOGL, LNKD, TWTR)
|
Motley Fool
from May 24, 2015
… If social media companies want to increase their share of mobile advertising dollars, they’re going to do it with superior artificial intelligence. AI is key to providing users with engaging content and well-targeted advertisements.
|
|
Dear Madison Avenue: Set My Data Scientists Free
|
Advertising Age
from May 21, 2015
Back in 2008, when I was 31 years young and a freshly minted Ph.D., I took my first job in digital media. I was hired as a consultant for “advanced analytics” on a new mobile ad server. So I dusted off my statistics books, cracked my knuckles and logged into the machines where six months of server files were housed. And that’s when the torture began.
The data files were scattered across directories. The names were inconsistent. The formats varied wildly. Hours passed as I typed out Unix commands on the terminal, tediously stitching together billions of events into a time series of the last few months. As the graph rendered, an amazing trend unfolded: a sudden dip, then a 300% spike in ad traffic! Yet a few more keystrokes revealed the unglamorous reason: The platform had crashed, rebooted and began logging every event in triplicate.
So much for the “advanced analytics” I’d been hired to deliver.
|
|
The Government’s Consumer Data Watchdog – NYTimes.com
|
The New York Times
from May 23, 2015
When does the free flow of personal data benefit consumers, and when might it damage their pocketbooks?
That question, at the heart of the debate over information economics and fairness, took center stage one day last month when Hal R. Varian, chief economist of Google, and Ashkan Soltani, chief technologist of the Federal Trade Commission, participated in a conference on big data and privacy at the Temple University Fox School of Business in Philadelphia.
|
|
Insurgent Dynamics: A systematic analysis of social unrest using the GDELT Event database — Medium
|
Medium, Dénes Csala
from May 24, 2015
In this post I have rekindled one of my earlier data analysis and visualization projects from last year, about my explorations of conflict and insurgence dynamics using data from the GDELT event dataset and a simple epidemiological SIR model. The data visualization was done in Matlab, so it is a bit chunky, but please go ahead and check it out here.
|
|
Why I Left My Data Science Master’s Program
|
LinkedIn, Charles Pensig
from May 19, 2015
I just completed the second of two finals to end the first semester of Berkeley’s MIDS program–a new data science program created by the School of Information at UC Berkeley. It was disappointingly easy and expensive ($13k per semester for 5 semesters for an online program). The level of comprehension required to do well was about that of a Coursera course. And this is not to say that Coursera is easy; it isn’t if you really dig your heels in. There is a higher level of accountability that comes with a structured program, but the incremental learning that came with the structure didn’t make the degree worth it. I’m dropping the program today.
|
|
Human Ingenuity Takes On Cancer’s Darwinian Ways – NYTimes.com
|
The New York Times
from May 18, 2015
One of the most encouraging developments in medical research has been the effort to help the immune system fight back, beating cancer at its own evolutionary game.
That was a dominant theme last month at the annual meeting of the American Association for Cancer Research in Philadelphia as scientists discussed recent successes in immunotherapy while considering how far the field still has to go.
|
|
What Comes After MVC
|
Push cx blog
from May 23, 2015
I’m excited to speak at RailsConf 2015 today about What Comes After MVC. I had a lot of fun with the talk, including making a trailer to respond to DHH’s keynote rebranding “monoliths”:
|
|