Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

• The APEXX W3 Brings DL to Your Deskside. Featuring an 18-core Intel® Xeon® W CPU and up to four professional NVIDIA Quadro GV100 GPUs, APEXX W3…

Here is our selection of featured articles and resources posted since Monday:

• New Decimal Systems - Great Sandbox for Data Scientists and Mathematicians 
• Data Engineer and Business Analyst Might be the…

We illustrate pattern recognition techniques applied to an interesting mathematical problem: The representation of a number in non-conventional systems, generalizing the familiar base-2 or base-10 systems. The emphasis is on data science rather than mathematical theory, and the style is that of a tutorial, requiring minimum knowledge in mathematics or statistics. However, some off-the-beaten-path, state-of-the-art number theory research is discussed here, in a way that is accessible to…

Data scientists spend 80% of their time preparing and cleaning their data. They spend the other 20% of their time complaining about preparing and cleaning their data.

This was posted by Kirk Borne on his Twitter account. Not sure who created the cartoon. Do we all spend 80% on our time on something, and the remaining 20% on something else? In my case, I spend 20% of my time writing articles (usually research articles that the layman can understand, and sometimes articles like…

These are not business questions, but soft questions that should make any PhD candidate relaxed, even intrigued, and open to talk freely. There is no wrong answer, these are open questions, but some answers could hint that the candidate is still in his/her PhD bubble, feeling superior, not flexible, and unable to see the big picture behind the apparently innocent question. These questions were asked discretely, none of the responders knew about my PhD mathematical background. …

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

• SQL + Notebooks + Charts. All in one platform. …

Four pictures were posted recently on Data Science Central, and have immediately become popular. They are designed as one-page tutorials on some specific (basic or advanced) topics. Click on the links below to find those related to the subjects that you are interested in. 

Four Great Pictures Illustrating Machine Learning Concepts

• Neural…

Here is our selection of featured articles and resources posted since Monday.

• Why Are Data Science Leaders Running for the Exit? 
• Transfer Learning – Deep Learning for Everyone …

I described here a strange type of function, that is nowhere continuous but relatively easy to integrate using probabilistic arguments. I call it the fractional part of parameter p of a function g(x), and it is denoted as g(x, p). We focus here on g(x) = exp(x). It is obtained by removing a number of terms (usually infinitely many) in the Taylor series of g(x). For instance, by removing all…

Guest blog post by Edward Chenard, Contributor at DataScience.com.

I've had several conversations recently with people I know in the data science space that always start out about business and then drift to the state of data science as a whole. One theme constantly comes up in these conversations: There are a lot of people currently running data…

Guest blog post by Michael Li, Head of Analytics and Data Science at LinkedIn.

I’m sure everyone who has been following tech industry news knows about “big data” and “AI.” Although there is no industry-consistent definition for either term, most people tend to agree…

Written exclusively for Data Science Central, by Vincent Granville. These articles are intended for non-experts, written in simple English, and particularly suited for professionals managing a data science team, or for practitioners interested in the field of data science and machine learning. These articles (and more) will soon be combined in several booklets available exclusively for…

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

• Optimize your career with UVA’s M.S. in Business Analytics. In just twelve months, you’ll develop the skills you need to leverage analytics and drive…

Cambridge Analytica was caught tampering with elections by exploiting Facebook, but chances are that this is the tip of the iceberg, and that many others, including scammers and ID thieves, are also exploiting Facebook and other social networks. One way that they do this is as follows.

Cambridge Analytica website (front page) -…

Here is our selection of featured article posted since Monday:

• From Data Dictionary to Meta Data with Simple Text Wrangling (in Python)
• Book: Artificial Intelligence with Python …

In Part 1 of this article (see here) we featured the two results below, as well as a simple way to prove these formulas.

Here, we continue on the same topic, featuring and proving the formulas below, which are just the tip of the…

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

• The market for business analysts is expected to grow to $203 billion by 2020. The demand for data analysts is outpacing the supply of available workers.…

Here is our selection of featured articles and resources posted since Monday:

• How Industrial IoT is Influenced by Cognitive Anomaly Detection
• Next Generation Automated Machine Learning (AML) …

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

• Earn our online Business Analytics Graduate Certificate in one year. Learn data analytics to support business…