A Data Science Central Community
From the OLAP concept in earlier years to the agile BI over the last few years, BI vendors never stop advertising the self-service capability, claiming that business users will be able to perform analytics by themselves. Since there are strong self-service needs among users, the two really hit it off and it is very likely that a quick deal is made. The question is - does a BI product’s self-service functionality enable a truly flexible data analytics by business users?
There isn’t a…Continue
This article summarizes a trend in programming languages usage, based on a number of proxy metrics. This change started to be more pronounced in early 2017: Python became the language of choice, over R, for data science and machine learning applications.
We have 83 fresh, active job ads, relevant to data science and mostly in US and London, for Python: …Continue
Added by Vincent Granville on August 30, 2017 at 7:30pm — No Comments
The following articles and resources were featured today:
Added by Vincent Granville on August 27, 2017 at 12:10pm — No Comments
Guest blog post by Mic Farris. Mic is a Decision Science & Analytics Leader at CenturyLink.
Two of the biggest buzzwords in our industry are “big data” and “data science”. Big Data seems to have a lot of interest right now, but Data Science is fast becoming a very hot topic.…Continue
Added by Vincent Granville on August 24, 2017 at 5:30pm — No Comments
Summary: Reinforcement Learning (RL) is likely to be the next big push in artificial intelligence. It’s the core technique for robotics, smart IoT, game play, and many other emerging areas. But the concept of modeling in RL is very different from our statistical techniques and deep learning. In this two part series we’ll take a look at the basics of RL models, how they’re built and used. In the next part, we’ll address some of the complexities that make development a…Continue
Added by Vincent Granville on August 23, 2017 at 2:30pm — No Comments
Posted on DSC today and yesterday
Added by Vincent Granville on August 22, 2017 at 12:39pm — No Comments
Here is our list of newly featured articles and resources:
Added by Vincent Granville on August 18, 2017 at 8:50pm — No Comments
Logarithms turn a product of numbers into a sum of numbers: log(xy) = log(x) + log(y). Hyperlogarithms generalize the concept as follows: Hlog(XY) = Hlog(X) + Hlog(Y), where X and Y are any kind of objects, and the product and sum are replaced by operators in some arbitrary space. …Continue
I describe here an interesting and intuitive clustering algorithm (that can be used for data reduction as well) offering several advantages, over traditional classifiers:
You don't need to know K-NN to understand this article -- but click here if you want to…Continue
Added by Vincent Granville on August 15, 2017 at 12:00pm — No Comments
Here is our selection of featured articles and resources posted over the last few days:Continue
Added by Vincent Granville on August 12, 2017 at 5:00pm — No Comments
This picture speaks more than words. It explains the concept or false positive and false negative, that is, what is referred to by statisticians as Type I and Type II errors.
Other great pictures summarizing data science and statistical concepts, can be found…Continue
Added by Vincent Granville on August 10, 2017 at 5:17pm — No Comments
ECommerce fraud is growing quickly, creating new challenges in terms of prevention and detection. As merchants gather more and more information about customers and their behaviors, the key element in the fight against fraud is now to draw on the connections within the data collected to uncover fraudulent behaviors. In this post we explain why and how graph technologies are crucial in the detection of eCommerce fraud.…
Added by Elise Devaux on August 9, 2017 at 9:30am — No Comments
Here is our selection of new featured articles for today:Continue
Added by Vincent Granville on August 6, 2017 at 11:33am — No Comments
In 2006, Clive Humbly, UK Mathematician, and architect of Tesco’s Clubcard coined the phrase “Data is the new oil. He said the following:
”Data is the new oil. It’s valuable, but if unrefined it cannot be used. It has to be…Continue
Added by Vincent Granville on August 3, 2017 at 4:30pm — No Comments