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Vincent Granville's Discussions

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

Unexpected use of drones

Started this discussion. Last reply by Rob Foree on Tuesday. 1 Reply

Is it possible to beat commute traffic, by traveling in 3D, with drones?Let's say you weight 90 pounds. How many drones would you need to get you airborne? If each drone can carry 30 pounds, you…Continue

Rejected articles posted this week

Started Jun 18 0 Replies

These postings are not bad, they are just either too promotional or too short, and we don't really have a space for this on DSC right now, though we are working on offering a Twitter-like feature.…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

Vincent Granville commented on Vincent Granville's blog post 10 types of regressions. Which one to use?
"About R implementations, here is a comment by Alan Parker: The CRAN task view: “Robust statistical methods” gives a long list of regression methods, including many that Vincent mentions. Here a some that are not mentioned…"
3 hours ago
Kalyanaraman K commented on Vincent Granville's blog post 10 types of regressions. Which one to use?
"Yes. ARIMA is one among the models I considered."
4 hours ago
Vincent Granville posted a blog post

Weekly Digest - July 28

The full version is always published Monday. Starred articles are new additions or updated content, posted between Thursday and Sunday.AnnouncementJust as information is the lifeblood of healthcare, data science is at the heart of the 100 percent online Master of Science degree in Health Informatics at the College of St. Scholastica.  Through data analytics and information technology we can transform you into…See More
18 hours ago
Vincent Granville added 2 discussions to the group Announcements
yesterday
Andrei Macsin liked Vincent Granville's blog post 10 types of regressions. Which one to use?
yesterday
Mirko Krivanek commented on Vincent Granville's blog post 10 types of regressions. Which one to use?
"I think what Kalyanaraman has in mind is auto-regressive models for time series, like ARIMA processes and Box & Jenkins types of tools to estimate the parameters. A simple form is x(t) = a * x(t-1) + b * x(t-2) + error, where a, b are the…"
yesterday
Amy commented on Vincent Granville's blog post 10 types of regressions. Which one to use?
"Bayesian regression was added later. Here's how to do it in SAS, courtesy of one of our readers, Ralph Winters: For Bayesian analysis in SAS, you can use Proc MCMC, or do some post Bayesian type comparisons using proc GENMOD with the Bayes…"
yesterday
Amy commented on Vincent Granville's blog post 10 types of regressions. Which one to use?
"Here's how to do it in R, courtesy of one of our readers, Blaise F Egan: R contains much of what you want. Linear and logistic regression are in the base stats module. Ridge regression and Lasso regression are available in the…"
yesterday
Vincent Granville commented on Ishaq Mohammed's blog post 10 Steps for Big data projects
"I believe smaller data sets require more complex models, as they lack statistical power. It depends what you mean by small? Do you use a big data, but build a statistical model on summary statistics (aggregated tables)? At the other end of the…"
yesterday
Kalyanaraman K commented on Vincent Granville's blog post 10 types of regressions. Which one to use?
"Hi Vincent I was thinking about the class of regressions where the data vary over time, say time series. You may know that Econometric Methods contain a lot of alternative versions of regressions depending upon the type of violation of basic…"
yesterday
Vincent Granville commented on Vincent Granville's blog post 10 types of regressions. Which one to use?
"Hi Kalyanaraman, Can you elaborate? Jackknife regression addresses this issue. But you can also transform your data, use PCA to decorrelate the variables (I don't like it because the new variables lack interpretation). But maybe you had a…"
yesterday
Nina Mian liked Vincent Granville's blog post 10 types of regressions. Which one to use?
yesterday
Kalyanaraman K commented on Vincent Granville's blog post 10 types of regressions. Which one to use?
"Allow me to add a wide class of alternative regressions associated with situations deviating from usual assumption on linear regression, like heteroscedasticity, autocorrelation and others."
yesterday
Vincent Granville shared Tim Madison's video on Twitter
yesterday
Livan Alonso liked Vincent Granville's blog post 10 types of regressions. Which one to use?
yesterday
Vincent Granville commented on Vincent Granville's blog post 10 types of regressions. Which one to use?
"Here are to do these regressions using SAS: Linear regression - PROC REG, GLM, GLIMMIX, MIXED and GLMSELECT can all be useful Logistic regression - PROC LOGISTIC, GLIMMIX Ridge regression - PROC REG can do it Lasso - PROC GLMSELECT Ecologic - first…"
yesterday

Comment Wall (3 comments)

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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?  

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Vincent Granville's Blog

Weekly Digest - July 28

Posted on July 23, 2014 at 2:30pm 0 Comments

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

Announcement

Just as information is the lifeblood of healthcare, data science is at the heart of the 100 percent online Master of Science degree in Health Informatics at the College of St. Scholastica.…
Continue

10 types of regressions. Which one to use?

Posted on July 21, 2014 at 7:30pm 9 Comments

Should you use linear or logistic regression? In what contexts? There are hundreds of types of regressions. Here is an overview for data scientists and other analytic practitioners, to help you decide on what regression to use depending on your context. Many of the referenced articles are much better written (fully edited) in my data science Wiley book.…

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The fastest growing data science / big data profiles on Twitter

Posted on July 16, 2014 at 6:30pm 1 Comment

This article is co-authored with Dr. Livan Alonso Sarduy. The two charts below are based on a number of Twitter followers and their growth rate, after filtering out irrelevant or fake followers. Our next step is to identify top data science Twitter accounts, that are themselves followed by many other top data science Twitter accounts: in our opinion,…

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Weekly Digest - July 21

Posted on July 16, 2014 at 2:30pm 0 Comments

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

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