A Data Science Central Community
We added one new cheat sheet to our list of data science cheat sheets:
Previous entries include:Continue
Added by Vincent Granville on April 28, 2017 at 3:07pm — No Comments
Covering deep learning, AI, data science and dataviz:
Added by Vincent Granville on April 26, 2017 at 5:30pm — No Comments
Business analytics and business intelligence are two different notions, but only few people understand the difference. Interestingly, even people who have worked in the business industry struggle with this particular topic or have various different answers when someone asks the question 'What is the difference between business analytics and business intelligence?'
Some people define business analytics as an umbrella term and place intelligence as one of its parts, together with data…Continue
The alphabet of data science...
Added by Vincent Granville on April 21, 2017 at 3:30pm — No Comments
Added by Vincent Granville on April 21, 2017 at 10:30am — No Comments
Many businesses, especially small businesses, underestimate the danger their company’s data is in. They have the idea that because they’re fairly small, no one would want to try to steal the customer information they collect. After all, why go after a few thousand customer records when you could attack a large corporation and potentially walk away with tens of…Continue
Added by Peter Davidson on April 17, 2017 at 6:00am — No Comments
Here is our selection of featured articles and resources posted today:Continue
Added by Vincent Granville on April 15, 2017 at 11:00am — No Comments
The Monte Carlo method is an simple way to solve very difficult probabilistic problems. This text is a very simple, didactic introduction to this subject, a mixture of history, mathematics and mythology.
The method has origins in the World War II, proposed by the Polish American mathematician Stanislaw Ulam and Hungary American mathematician John Von Neumann.…
Added by Arnaldo Gunzi on April 11, 2017 at 4:00pm — No Comments
Depending on the business objectives, social media analytics can take four different forms, namely, descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics.
Social media data is the new gold and analytics is its digging tool. Social Media Analytics (SMA) is the art and science of extracting valuable hidden business insights from social media media data (Khan, 2015) . SMA turns the…Continue
Added by Dr. Gohar Khan on April 10, 2017 at 1:30pm — No Comments
We have published various "one picture" articles about data science topics. Our readers find them very useful, as they convey the same amount of information in one visual, as a long article. Below is a selection:Continue
Added by Vincent Granville on April 10, 2017 at 11:36am — No Comments
New batch of featured articles and resources posted this morning:Continue
Added by Vincent Granville on April 8, 2017 at 11:36am — No Comments
Democracy is a great thing! The more involved people are, the more they understand, the better decisions they can make for themselves and for everyone else AND they can make a better contribution as well. Data Democratization works the same way. In years past, businesses thought that only senior management needed to understand the strategy and direction of the company but…Continue
Added by Arbuda Dave on April 7, 2017 at 12:30am — No Comments
We are interested here in factoring numbers that are a product of two very large primes. Such numbers are used by encryption algorithms such as RSA, and the prime factors represent the keys (public and private) of the encryption code. Here you will also learn how data science techniques are applied to big data, including visualization, to derive insights. This article is good reading for the data scientist in training, who might not necessarily have easy access to interesting data: here the…Continue
Added by Vincent Granville on April 6, 2017 at 7:30pm — No Comments
There are three ways to look at data. The first is analytics. This is when you look at data from the (potentially very recent) past. Think analytics. It allows you to explore the questions what happened and why did it happen? The second is monitoring. This is looking at things as they happen. In many cases, monitoring is used to find abnormalities. Finally, there is…Continue
Here is our list of featured articles and resources for this weekend:
Added by Vincent Granville on April 1, 2017 at 1:00pm — No Comments