Featured on DSC, Big Data News and AnalyticBridge…
Added by Vincent Granville on March 31, 2013 at 7:00am — No Comments
Enjoy the reading! Articles from WSJ, Forbes, HBR, The Economist, NYT, MIT and many smaller, relevant media. In random order, though more recent ones are usually higher in the list.…Continue
Added by Vincent Granville on March 30, 2013 at 1:30pm — No Comments
Interesting PowerPoint presentation by Carlos Somohano. Here's my favorite slide (a slightly modified version):
Brief History of Data Science
Added by Vincent Granville on March 28, 2013 at 8:00am — No Comments
Predictive analytics is now sexy in the business world. While predictive analytics has many benefits and can help organizations gain competitive…Continue
Today Lavastorm Analytics published “Analytics 2013 – A Survey on Analytic Usage, Trends, and Future Initiatives”. This is a very interesting research project because it includes opinions from such a wide audience from the analytics community – 600…Continue
Added by Vincent Granville on March 23, 2013 at 10:30am — No Comments
Python is an increasingly popular object-oriented, interpreted and interactive programming language used for heavy-duty data analysis. Python is designed for ease-of-use,…Continue
It’s time to forget the ‘vertical’ perception of Big Data, i.e. vast volumes and ROWSof data, and start to think about the ‘horizontal’ reality and true power of data. TheCOLUMNS of rich, informative data is where your real value lies and where truly smart decisions will be made.
Granted, extensive columns of data will get unmanageable to work with. But this is where data analytics can help…
Added by Graham Forsyth on March 21, 2013 at 4:42am — No Comments
Former VMware CEO and current Pivotal Initiative leader Paul Maritz shares his thoughts on how the future of enterprise IT must mirror the practices of consumer web companies.
In the last three decades, we’ve seen a shift in enterprise information technology, from mainframes that automated our financial information,…Continue
Added by Vincent Granville on March 19, 2013 at 8:34am — No Comments
The South by Southwest Interactive conference in Austin, Texas captivates our imaginations for a few days every year. How do they do it? The conference makes science and technology look both lucrative and cool. Bright-eyed startup teams leave the conference with dreams of being the next Twitter or Instagram.
We need to see more of this momentum, especially amongst Millennials. To generate interest in technology careers such as those created by the Big Data wave, incentive…Continue
Everybody talks about beautiful charts and graphs, usually produced by Tableau or R, see links below. They are definitely great and I guess publishers (including us!) love to regularly show such graphs to our readers because it generates a lot of reactions.
But what about graphic diagrams (see examples below)…Continue
Added by Vincent Granville on March 17, 2013 at 1:16pm — No Comments
There are two types of data scientists:
In-Memory Data Grids (IDG) allow organizations to collect, store, analyze and distribute large, fast-changing data sets in near real-time. Organizations are increasingly using IDG's for the efficient sharing of…Continue
2.7 zetabytes of data exist in the digital universe today according to recent IBM case studies. Yes, you heard right. I said zetabytes; 10^21 bytes or 1,000x larger than an exabyte (which itself is a billion times larger than a gigabyte). From a visual perspective, if the cup of coffee on your desk was equivalent to one gigabyte, a zetabyte would have the same volume as the Great Wall of China. Now multiply that number…Continue
Added by Kyle Herring on March 13, 2013 at 1:15pm — No Comments
The stock market has soared despite no news to support the new highs. Is it time to sell or to short? Or to buy?
Here's my advice, both as a data scientist, and as a former day trader who survived 15 years of stock market volatility (and increased model-resistant price oscillations), mostly by not trading anymore since 2000,…Continue
Unstructured Data Really Isn’t
Bradley S. Fordham, PhD (www.linkedin.com/in/drbradleyfordham)
The (ART+DATA) Institute
The term “unstructured data”, is truly an oxymoron. All data has structure, and in fact most data has multiple structures…Continue
Added by Zach Piester on March 10, 2013 at 2:18pm — No Comments
I found it odd there was no way to automatically deskew data in R, so I wrote a short little function to do it. It noticeably improves the peformance of linear models and linear support vector machines.
We are seeking comments and suggestions on a proposed "Data Science Code of Professional Conduct".
Data science is an independent profession. Data scientists have a higher calling than just technical skills. We have a duty to use data science to make life, business and government better.…
Contrary to the prevailing sentiments, I counsel patience with regards to hiring a data scientist. Firstly, I mean no disrespect to my data science colleagues, and many will likely agree with me because no one likes to enter an environment where sub-optimal results or failure are probable. Yes, it’s likely you need to add one or even a few data scientists to the team, but not as your first step into the wide, wide world of Big Data. Give me a few minutes and hopefully you’ll see it my…Continue
Added by Alan Nugent on March 5, 2013 at 4:01am — No Comments