In recent blogs, I wrote about using codified narrative as a form of data. I also discussed using attribution models to systematically evaluate codified narrative for ontological constructs: e.g. "child abuse" "physical confinement" "cannibalism." I provide a brief overview of these topics a bit later in the blog. The third important piece to make use of narrative data involves "attribution profiling" in a process that I call "catching scent." Following the odour of data involves…Continue
Deep Learning is one of the most revolutionary and disruptive technologies ever developed in Data Science. Essentially, this is…Continue
Added by Vincent Granville on April 28, 2016 at 7:30pm — No Comments
Big data and its conjoined twin analytics are the business buzzwords of the decade to be sure — and for good reason. Because of advances in technology and computing, we’re generating more data than ever before. A lot more. And we’re learning how to put it to good use.
Whether you’re the IT guy trying to convince your boss that analytics are where he should be…Continue
Added by Bernard Marr on April 28, 2016 at 4:00pm — No Comments
What does big data know about you?
Quite a lot.
Every time we use a computer, access our phones, or open an app on a tablet, we’re leaving a digital trail. Most people are vaguely aware that Google knows what they’ve searched for, or that Facebook knows who their friends are, but it goes much, much deeper than that.
I’ve compiled a list of…Continue
Added by Bernard Marr on April 28, 2016 at 4:00pm — No Comments
What does The Library of Alexandria, The Normans and a book have to do with data? I never thought about
...at Alexandria was in charge of collecting all the world's knowledge, and most of the staff was occupied with the task of translating works onto papyrus paper... 1
Or The Normans and the...
Domesday Book (Latin:…
Starred articles are new additions posted between Thursday and Sunday, published in the Monday edition exclusively. The Monday edition has six sections: (1) Featured Resources and Technical Contributions, (2) Featured Articles and Case Studies, (3) From our Sponsors, (4) News, Events, Books, Training, Forum Questions, (5) Picture of the Week, and (6) Syndicated Content. The Thursday edition covers articles…Continue
Added by Vincent Granville on April 27, 2016 at 3:30pm — No Comments
Oh, the poor, maligned pie chart. The chart type that gets pushed around and bullied on the data-viz playground more than any other. Randal Olsen of /r/dataisbeautiful ran a Twitter poll asking, “Do you think pie charts should be banned from #dataviz?” Scientific or not, nearly two in five responded affirmatively:…Continue
Added by Ben Jones on April 27, 2016 at 2:00pm — No Comments
Previous Relevant Posts
What is CAPM?
According to the investopedia (…Continue
Added by Gregory Choi on April 27, 2016 at 10:41am — No Comments
Summary: What do you need to do to get an entry level job in data science?
This article is written for anyone who is considering becoming a data scientist. That includes young people just starting their bachelor’s degrees and folks in the first two or three years of their careers who want to make the switch.
It’s not for folks who…Continue
Now I’m preaching to the choir when I tell you that big data is the future. You all know that already. Article after article on this website is devoted to the idea that if we use big data correctly, it can be worth its weight in digital gold. The question is, are you actually using it correctly, particularly when you’re using it to push your content marketing?…Continue
Added by Julie Ellis on April 26, 2016 at 4:12am — No Comments
If we tackle a supervised learning problem, my advice is to start with the simplest hypothesis space first. I.e., try a linear model such as logistic regression. If this doesn't work "well" (i.e., it doesn't meet…Continue
Added by Tanmay Bhandari on April 22, 2016 at 9:13pm — No Comments
Web designers avoid data because most of them are not comfortable dealing with it. But, as we are progressing ahead towards a more digital age, designers have the responsibility to produce highly effective data driven designs.
Invariably, data science is playing—and will continue to play—a large role in web design. The designers need to educate themselves about the rapidly growing trend of data-driven design…Continue
Added by Joydeep Bhattacharya on April 22, 2016 at 9:12pm — No Comments
Analytics is a general term for a number of different processes, all of which are geared toward better understanding your demographics (or industry in general), and making improvements to your business’s infrastructure to account for those new insights. Unfortunately, whenever a company starts analyzing data in a new way, or from a new angle, there…Continue
Added by Larry Alton on April 22, 2016 at 6:30am — No Comments
The use and value of torture or enhanced interrogation techniques on captured enemy combatant is a much debated topic in the US political and media circles. The arguments for and against the use of torture has been discussed along three perspectives: moral, legal, and usefulness. Since I am neither an intelligence official nor a…Continue
Added by Naimish Thakkar on April 21, 2016 at 11:02am — No Comments
About 8,300 articles related to Python have been posted on Data Science Central, according to Google. Below is a small sample -- the 12 most useful and popular articles to get started with Python and data science. The Guide to Learning Python for Data Science has been moved…Continue
Added by Vincent Granville on April 21, 2016 at 8:30am — No Comments
Summary: Will Automated Predictive Analytics be a boon to professional data scientists or a dangerous diversion allowing well-meaning, motivated but amateur users try to implement predictive analytics. More on the conversation started last week about new One-Click Data-In Model-Out platforms.
I have always been very much of…Continue
Starred articles are new additions posted between Thursday and Sunday, published in the Monday edition exclusively. The Monday edition has six sections: (1) Featured Resources and Technical Contributions, (2) Featured Articles and Case Studies, (3) From our Sponsors, (4) News, Events, Books, Training, Forum Questions, (5) Picture of the Week, and (6) Syndicated Content. The Thursday edition covers articles published between Monday and Wednesday.
Added by Vincent Granville on April 20, 2016 at 10:00am — No Comments