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Vincent Granville
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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 Jul 22. 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

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Vincent Granville commented on Vincent Granville's blog post Jackknife logistic and linear regression for clustering and predictions
"Hello Seiji, the answer to your two questions is yes."
13 hours ago
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13 hours ago
Seiji Sakurai commented on Vincent Granville's blog post Jackknife logistic and linear regression for clustering and predictions
"Hello I am working on your theorem, it would be very helpful if you can clarify some things, : 1. For M', does the apostrophe account for the number of clusters/groups of data? (ie. M''' would be 4 clusters?) 2. When you mention…"
14 hours ago
Paula Elliott commented on Vincent Granville's blog post 16 analytic disciplines compared to data science
"Everything I always wanted to know about Data Science, but was afraid to ask! Thank you for this article. Very helpful to those of us last looking to grow out of a singular element of Data Science and delve into other areas. "
17 hours ago
Iga Korneta commented on Vincent Granville's blog post 10 types of regressions. Which one to use?
"I'd love to see a case study, to show how different methods provide different results."
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Charles Rein liked Vincent Granville's blog post 16 analytic disciplines compared to data science
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Livan Alonso commented on Vincent Granville's blog post Word Clouds of Big Data, Data Science and Other Buzz Words
"Thanks Amy for your comment. It would be great to implement the 2-token keywords suggestion. We did not make extensive filtering, but the algorithm and the word clouds can be improved as much as we wish. We added more information about what colors…"
yesterday
Amy commented on Vincent Granville's blog post 16 analytic disciplines compared to data science
"The data science theorem Data = signal + noise Data science = extracting (valuable) signal from data, and filtering out noise. Therefore, data science = signal processing (or signal extraction, to be precise)."
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Vincent Granville shared their blog post on Twitter
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Vincent Granville commented on Vincent Granville's blog post 16 analytic disciplines compared to data science
"Hi Stone, I hesitated including signal processing as a separate entry. Indeed, data is signal, and data science can be seen as the science of processing signals. Signal processing conveys the idea that we are dealing with big data. And I have myself…"
Tuesday

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 - August 4

Posted on July 29, 2014 at 2:00pm 0 Comments

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

Featured Articles

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Cassandra Modeling for Real-Time Analytics

Posted on July 29, 2014 at 8:00am 0 Comments

by Elliott Cordo, chief architect at Caserta Concepts. Exclusive to Data Science Central.

There is much discussion these days about Lambda Architecture and its benefits for developing high performance analytic architectures.  It offers a combination of a high performance, low latency ETL with a real-time layer, and a slower, more accurate, and flexible solution that runs in batch.  

As I work…

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Word Clouds of Big Data, Data Science and Other Buzz Words

Posted on July 28, 2014 at 6:30pm 2 Comments

Guest blog post by Dr. Livan Alonso. 

Twitter has more than 250 million monthly active users who tweet more than 500 millions tweets per day. In the case someone is following many people, it isn’t feasible to read each tweet from them.

Do you have any idea about what people are twitting about Data Science, Big Data, Business Analytics, Hadoop, Machine Learning or R programming?

Word clouds are one of the simplest and most intuitive ways of visualizing text data.…

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16 analytic disciplines compared to data science

Posted on July 24, 2014 at 7:00pm 12 Comments

What are the differences between data science, data mining, machine learning, statistics, operations research, and so on?

Here I compare several analytic disciplines that overlap, to explain the differences and common denominators. Sometimes differences exist for nothing else other than historical reasons. Sometimes the differences are real and subtle. I also provide typical job titles, types of analyses, and industries traditionally attached to each discipline. Underlined domains are…

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