Subscribe to Dr. Granville's Weekly Digest

Vincent Granville's Friends

  • George F. Hart
  • Charles Fox
  • Antoine Bruyns
  • Tahir Irshad Siddiqi
  • Tullio Siragusa
  • Manu Dixit
  • john
  • Gautam Ganesh
  • Dilip MS
  • Eelco van Gelderen
  • Linh Tran
  • Crispin Stromberg
  • Paul Robert Bolton II
  • Rosaria Silipo
  • Matthew Holgate

Vincent Granville's Discussions

Translating legacy data science apps into Python

Started Aug 20 0 Replies

I have some code, mostly Perl (though also some C) that I'd like to translate into Python. It's written in a very simple way (easy to read and understand), does not use any advanced nor low-level…Continue

Simple scoring system to predict stroke risk. What do you think?

Started Aug 20 0 Replies

This might be one of the most rudimentary scoring systems that I have ever seen, yet I love it; it's based on powerful predictors, and easy to interpret, measure and understand. However, it somewhat…Continue

Least popular jobs for big data practitioners - jobs you want to avoid

Started this discussion. Last reply by Jim Porzak Aug 19. 2 Replies

Usually, data scientists receive unsolicited job interview requests pretty much every day. Yet, there are some projects for which - instead of getting job interview requests - you get the opposite:…Continue

How to detect the best prospects, based on data science

Started Jul 13 0 Replies

Analytics can go a long way to filter out Inbox messages that have no value (waste of your time), and to identify the right prospects. So what are the metrics to use, to filter our bad leads that…Continue

Gifts Received (2)

Red Ribbon From Jessica Qiu Red Ribbon From Jim King
 

Vincent Granville's Page

Profile Information

Short Bio
Dr. Vincent Granville is a visionary data scientist with 15 years of big data, predictive modeling, digital and business analytics experience. Vincent is widely recognized as the leading expert in scoring technology, fraud detection and web traffic optimization and growth. Over the last ten years, he has worked in real-time credit card fraud detection with Visa, advertising mix optimization with CNET, change point detection with Microsoft, online user experience with Wells Fargo, search intelligence with InfoSpace, automated bidding with eBay, click fraud detection with major search engines, ad networks and large advertising clients.

Most recently, Vincent launched Data Science Central, the leading social network for big data, business analytics and data science practitioners. Vincent is a former post-doctorate of Cambridge University and the National Institute of Statistical Sciences. He was among the finalists at the Wharton School Business Plan Competition and at the Belgian Mathematical Olympiads. Vincent has published 40 papers in statistical journals (including Journal of Royal Statistical Society - Series B, IEEE Pattern Analysis and Machine Intelligence, Journal of Number Theory), a Wiley book on data science, and is an invited speaker at international conferences. He also developed a new data mining technology known as hidden decision trees, owns multiple patents, published the first data science eBook, and raised $6MM in start-up funding. Vincent is a top 20 big data influencers according to Forbes, and was also featured on CNN.
My Web Site Or LinkedIn Profile
http://www.analyticbridge.com/profile/VincentGranville
Field of Expertise
Analytics, Big Data, Data Science
Professional Status
C-Level
Years of Experience:
15
Your Company:
Data Science Central, AnalyticBridge
Industry:
Internet
How did you find out about DataScienceCentral?
Tim Matteson
Interests:
Networking, New venture, Recruiting, Other
What is your Favorite Data Mining or Analytical Website?
http://www.datasciencecentral.com
What Other Analytical Website do you Recommend?
http://www.analyticbridge.com

Bio

Dr. Vincent Granville is a visionary data scientist with 15 years of big data, predictive modeling, digital and business analytics experience. Vincent is widely recognized as the leading expert in scoring technology, fraud detection and web traffic optimization and growth. Over the last ten years, he has worked in real-time credit card fraud detection with Visa, advertising mix optimization with CNET, change point detection with Microsoft, online user experience with Wells Fargo, search intelligence with InfoSpace, automated bidding with eBay, click fraud detection with major search engines, ad networks and large advertising clients.

Most recently, Vincent launched Data Science Central, the leading social network for big data, business analytics and data science practitioners. Vincent is a former post-doctorate of Cambridge University and the National Institute of Statistical Sciences. He was among the finalists at the Wharton School Business Plan Competition and at the Belgian Mathematical Olympiads. Vincent has published 40 papers in statistical journals and is an invited speaker at international conferences. He also developed a new data mining technology known as hidden decision trees, owns multiple patents, published the first data science book, and raised $6MM in start-up funding. Vincent is a top 20 big data influencers according to Forbes, was featured on CNN, and is #1 in Gil Press' A-List of data scientists.


Contact: vincentg@datashaping.com

Latest Activity

Linda B. liked Vincent Granville's discussion Data Science Cheat Sheet
7 hours ago
susan kulakowski commented on Vincent Granville's blog post 33 unusual problems that can be solved with data science
"#3. Earth-like planets. I like it but "planet" search could be limited. According to Discovery Channel's "How the Universe Works" ("Alien Moons" with planetary scientist, Chris McKay), moons hold as much--maybe…"
12 hours ago
Nagaraj Kulkarni commented on Vincent Granville's blog post 33 unusual problems that can be solved with data science
"Thanks for exhaustive list for data science and made me think few the followings: Predicting national coup in a country Prediction for which country will win more medals in the Olympic/ film for the Oscar/ the Nobel prize "
18 hours ago
Livan Alonso liked Vincent Granville's blog post 33 unusual problems that can be solved with data science
yesterday
Harish Ramkumar liked Vincent Granville's discussion Our Data Science Apprenticeship is Now Live
Sunday
Harish Ramkumar liked Vincent Granville's discussion Data science project: creating an RSS feed exchange
Sunday
Matthew Maldonado liked Vincent Granville's blog post Frozen versus liquid analytics - or the competitive advantage of data science
Saturday
Vincent Granville added a discussion to the group Announcements
Thumbnail

Participate in the Analytical Skills, Tools & Attitudes Survey 2014

Have your voice be heard! Participate in the Analytical Skills, Tools & Attitudes Survey 2014At Lavastorm Analytics, we believe in giving you the tools to be successful. What better tool than an understanding of the most important skills you need to have today and in the future in order to be successful in your chosen career?…See More
Saturday
Harish Ramkumar liked Vincent Granville's discussion Least popular jobs for big data practitioners - jobs you want to avoid
Saturday
selva janakiraman liked Vincent Granville's group Data Science Certification
Saturday
Gary D. Miner, Ph.D. commented on Vincent Granville's blog post 33 unusual problems that can be solved with data science
"Here is your Number 34:    Predicting, with high accuracy, personalized medical events, diagnoses, and treatments  -  tailored for the environmental and genetic factors of the INDIVIDUAL ........ (this is coming, and already…"
Friday
Gary D. Miner, Ph.D. liked Vincent Granville's blog post 33 unusual problems that can be solved with data science
Friday
Chris liked Vincent Granville's blog post Frozen versus liquid analytics - or the competitive advantage of data science
Friday
Vincent Granville posted blog posts
Friday
Chris commented on Vincent Granville's blog post 33 unusual problems that can be solved with data science
"Love your works, this article is typical of yours. You make data overgrow the traditional computing four dimensions, perception, information, reasoning and machine learning ( your #2 gives me a chuckle!), #31 is more or less data…"
Friday
Vincent Granville posted an event

Analytics & Statistics for CRM at Lausanne, Switzerland

November 7, 2014 all day
Analytics & Statistics for CRM, November 7th (afternoon), Lausanne. Keynote: Dean Abbott. With speakers from Nestlé, SAS, DiaSys, Aduno Gruppe and SandSIV: saa5.eventzilla.netSee More
Friday

Comment Wall (4 comments)

You need to be a member of Data Science Central to add comments!

Join Data Science Central

At 6:19am on August 5, 2014, Nasir M. Uddin, Ph.D. said…

Hi Vincent:

This is a great platform to be informed with any latest updates in the field of data science - thank you so much for such a platform.

Regards, Nasir 

At 8:03am on January 8, 2013, Marc Jape said…
Vincent:

This is a great platform that I was not aware of. Keep up the good work.

Regards,
Marc
At 1:05pm on December 19, 2012, Johnny L. Hopkins said…

Thank for the request.

At 12:50pm on September 19, 2012, Paul Jameson said…

Hello Vincent, 

Thanks for the connection. I would like to ask you a question, when I joined here my BIO states (To understand the building blocks based on natural data transfer.) it's very good I like that, but could you tell me how my BIO was achieved? Was it (A) human input or (B) machine?  

Vincent Granville's Videos

  • Add Videos
  • View All

Vincent Granville's Blog

Frozen versus liquid analytics - or the competitive advantage of data science

Posted on August 29, 2014 at 8:30am 0 Comments

In this article, I further emphasize the difference between data scientists and other analytic practitioners. I wrote last week that statisticians are to data scientists what astronomers are to physicists: there's some overlap, but less than most people think. Here, I elaborate on this theme.…

Continue

33 unusual problems that can be solved with data science

Posted on August 28, 2014 at 9:00pm 5 Comments

Here is a non-exhausting list of curious problems that could greatly benefit from data analysis. If you think you can't get a job as a data scientist (because you only apply to jobs at Facebook, LinkedIn, Twitter or Apple), here's a way to find or create new jobs, broaden your horizons, and make Earth a better world not just for human beings, but for all living creatures. Even beyond Earth indeed. Help us grow this list of 33 problems, to 100+.

The actual number is higher than 33, as…

Continue

Weekly Digest - September 1

Posted on August 27, 2014 at 2:30pm 0 Comments

The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday. 

Sponsored Announcements…

Continue

Synthetic criterion to choose the right variables for your predictive algorithm

Posted on August 26, 2014 at 3:30pm 0 Comments

The success of any big data or data science initiative is determined by the kind of data that you collect, and how you analyze it. In this article, we describe a simple criterion to select great metrics out of dozens, hundreds or even millions of potential predictors - sometimes called features or rules by machine learning professionals, or independent variables, by statisticians.…

Continue
 
 
 

Follow Us

Videos

  • Add Videos
  • View All

© 2014   Data Science Central

Badges  |  Report an Issue  |  Terms of Service