Here is our selection of featured articles and resources posted since Monday:
Added by Vincent Granville on November 30, 2017 at 9:04am — No Comments
This came in my mailbox today, sent from this source. I thought you would be interested in this.
Sample list of recent placement:
Digital, Marketing & Customer Analytics… |
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Added by Vincent Granville on November 28, 2017 at 1:30pm — No Comments
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 month old but no more than 12 month old. The previous digest in this series was posted here a while back.
17 Great Blogs Posted in the last 12…
ContinueAdded by Vincent Granville on November 27, 2017 at 7:30pm — No Comments
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.
Featured Resources and Technical Contributions
ContinueAdded by Vincent Granville on November 25, 2017 at 1:30pm — No Comments
Added by Vincent Granville on November 23, 2017 at 9:16am — No Comments
This is a new series, featuring forum questions (new and old) that are still popular today. These questions were selected manually based on popularity, removing outdated material. The entire series consists of about 160 questions -- most with answers, sometimes several answers. We intend to publish a new set every two weeks or so. The previous edition was posted …
ContinueAdded by Vincent Granville on November 22, 2017 at 12:30pm — No Comments
At 280 pages, the report is too long to cover in detail, but we’ve pulled out the most salient points for you below.
Main Points
Added by Vincent Granville on November 21, 2017 at 8:38pm — No Comments
By Bart Baesens, Véronique Van Vlasselaer and Wouter Verbeke
The importance and need for effective fraud detection and prevention systems is highlighted by some recent numbers which give an indication of the estimated size and the financial impact of fraud:
Added by Vincent Granville on November 21, 2017 at 4:00pm — No Comments
Detect fraud earlier to mitigate loss and prevent cascading damage
Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these…
ContinueAdded by Vincent Granville on November 21, 2017 at 3:00pm — 1 Comment
Guest blog post by Chirag Tumar.
Any new technology is not successful until it is embraced and used to its potential. Machine learning is no exception to this rule and its success or to say its ability can be gauged by the trends that exist. Machine learning is already a hot technology at the moments and it seems to have a promising future. At present, it…
ContinueAdded by Vincent Granville on November 20, 2017 at 12:48pm — 1 Comment
In some applications, using the standard precision in your programming language of choice, may not be enough, and can lead to disastrous errors. In some cases, you work with a library that is supposed to provide very high precision, when in fact the library in question does not work as advertised. In some cases, lack of precision results in obvious problems that are easy to spot, and in some cases, everything seems to be working fine and you are not aware that your simulations are completely…
ContinueAdded by Vincent Granville on November 18, 2017 at 10:00pm — 1 Comment
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.
Announcement
Added by Vincent Granville on November 18, 2017 at 7:30am — No Comments
Here is our selection of featured articles and resources posted since Monday:
ContinueAdded by Vincent Granville on November 16, 2017 at 10:08am — No Comments
Jenny Dearborn is the Chief Learning Officer and Senior Vice President at SAP. As global Chief Learning Officer for the 67,000 employees at SAP, Jenny leads an internationally-acclaimed and award-winning team recognized as the #1 performing corporate learning department in the world by eLearning Magazine.
Jenny is a recognized thought leader in human capital management and general business, and is a regular contributor to Forbes, Wall Street Journal, The…
ContinueAdded by Vincent Granville on November 14, 2017 at 9:41am — No Comments
This is a new series, featuring forum questions (new and old) that are still popular today. These questions were selected manually based on popularity, removing outdated material. The entire series consists of about 160 questions -- most with answers, sometimes several answers. We intend to publish a new set every two weeks or so. The previous edition was posted …
ContinueAdded by Vincent Granville on November 14, 2017 at 9:00am — No Comments
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.
Announcement
ContinueAdded by Vincent Granville on November 11, 2017 at 2:30pm — No Comments
Here is our list of resources and articles featured since Monday:
ContinueAdded by Vincent Granville on November 9, 2017 at 9:47am — No Comments
Description of Contest
Data Science Central (DSC) is excited to announce our competition to solve a new, interesting problem in statistical science, pertaining to stochastic processes. DSC members are invited and encouraged, to submit a theoretical solution or an application to real life problems, including but not limited to fintech, operations research, statistical science, computer science, economics, engineering, social, actuarial, biological or physical…
ContinueAdded by Vincent Granville on November 8, 2017 at 10:00am — 1 Comment
Here we describe well-known chaotic sequences, including new generalizations, with application to random number generation, highly non-linear auto-regressive models for times series, simulation, random permutations, and the use of big numbers (libraries available in programming languages to work with numbers with hundreds of decimals) as standard computer precision almost always produces completely erroneous results after a few iterations -- a fact rarely if ever mentioned in the scientific…
ContinueAdded by Vincent Granville on November 6, 2017 at 12:00pm — 7 Comments
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.
Announcements - U.S. Soccer
Added by Vincent Granville on November 5, 2017 at 10:00am — No Comments
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