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Vincent Granville
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  • Issaquah, WA
  • United States
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Vincent Granville's Discussions

100 articles about Data Science with Excel

Started yesterday 0 Replies

There are actually dozens if not hundreds of articles about Excel (for data science) on DSC, and a quick way to find them (or articles on any topic …Continue

Python (and R) for Data Science - sample code, libraries, projects, tutorials

Started on Friday 0 Replies

Two new popular articles about Python have been posted this week, on DSC: 10…Continue

The lowest paid data scientist

Started Apr 30 0 Replies

I received the following piece of spam in my Inbox today, and I thought it was worth sharing. How come the pay is so low, for a position requiring experience with large data sets, in production mode?…Continue

How to better predict social security expenses over 100 years

Started Apr 14 0 Replies

The amount of social security taxes that you pay is based on the following factors:Your lifetime incomeSocial security reservesInflation rateLongevity tables…Continue

Gifts Received (2)

Red Ribbon From Jessica Qiu Red Ribbon From Jim King
 

Vincent Granville's Page

Profile Information

Short Bio
To view my full profile, read my data science journey. Below is a 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, a Wiley book,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.


Contact: vincentg@datashaping.com

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Antony Mapfumo liked Vincent Granville's blog post 4 easy steps to becoming a data scientist
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"Vincent, Would you say the SQL Server Data Mining algorithms are now obsolete? Of course, its extensibility could still make it useful, and I know you have mentioned Predixion Software as being pretty good when used with PowerPivot. Thanks."
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Vincent Granville replied to Mirko Krivanek's discussion Model-based simulations for military operations
"A new technology is artificial insects (drones) about the same size as mosquitoes. You could use them to sting "undesirable" individuals, and poison them to death, or infect them with dengue fever or some other disease."
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"There is nothing rogue in this, it's just reverse-engineering Amazon. Indeed, Amazon is the bad guy, attacking authors and publishers, and doing whatever it takes, including embracing fake reviews, to please unhappy shareholders. Their CEO…"
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Denis Rasulev liked Vincent Granville's discussion Python (and R) for Data Science - sample code, libraries, projects, tutorials
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Vincent Granville posted a discussion

100 articles about Data Science with Excel

There are actually dozens if not hundreds of articles about Excel (for data science) on DSC, and a quick way to find them (or articles on any topic such as R) is to use our search box. Our search box is powered by Google, but it returns results from selected websites only, making search results much more relevant to DSC visitors. A popular…See More
yesterday
Vincent Granville's discussion was featured

Python (and R) for Data Science - sample code, libraries, projects, tutorials

Two new popular articles about Python have been posted this week, on DSC: 10 Python Machine Learning Projects on GitHub9 Python Analytics LibrariesThere are actually dozens if not hundreds of articles about Python (for data science) on DSC, and a quick way to find…See More
Saturday
Shajee Pulukkool commented on Vincent Granville's blog post Data Science Wars: R versus Python
"Amazing comparison. Looks like a photo finish for a marathon !!! "
Saturday
Palaniappan Ponniah liked Vincent Granville's group Data Science Apprenticeship
Saturday
Vincent Granville added 2 discussions to the group Announcements
Friday
Livan Alonso liked Vincent Granville's discussion Python (and R) for Data Science - sample code, libraries, projects, tutorials
Friday

Comment Wall (8 comments)

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At 3:38pm on March 11, 2015, Donald Tynes said…

Vincent,

I recently was hired as a data scientist. As a new hire, leading the department of Business Intelligence, I am faced with self-posed questions such as, "What do I need to accomplish in the first 5 days?" And, "What should I accomplish in the first month?" And, of course, "How do I develop a long-term plan for transforming the business into a data-driven organization?" To make the problem of determining how I should focus my attention even more complicated, I have a single employee whom I want to groom to understand the algorithms that I am implementing. Also, I have a CEO who only agreed to hire for this position because the CIO, CFO, and COO encouraged him to do so, but he is highly skeptical of what data science can do for the organization; this complicates matters too because it puts on me a pressure to be dazzling right out-of-the-box. 

I have given these questions considerable thought. I am on day 3 of my new job. I have decided to orient myself on the business' data, query tools, and self-service tools, such as QlikView. I have so many ideas, I have difficulty in choosing a single direction in which I should run. I must note that I want to be significantly impactful while minimizing disruptions in the business' daily functions. To that end, I keep thinking, "run a clustering analysis! Discover the patterns and trends in the company's data to begin the model-building process."

What advice would you give a young data scientist on his 4th day on the job (as it is for me, tomorrow)? 

At 5:22am on December 3, 2014, Harvey Summers said…

I thought you might like this site: http://rpsychologist.com/d3/CI/ 

Interpreting Confidence Intervals

an interactive visualization

At 11:29pm on October 31, 2014, Philippe Van Impe said…

Being from Belgium, you are welcome to join our meetup group about data sciences http://www.meetup.com/Brussels-Data-Science-Community-Meetup/

At 12:21pm on September 25, 2014, Christian Block said…

Hello Vincent, 

I just found DataScienceCentral and wanted to say thank you for putting it together! I'm looking forward to reading through more of the content and checking out your book (which I have ordered).  

Best Regards,

Christian Block

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?  

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Weekly Digest - May 25

Posted on May 20, 2015 at 5:30pm 0 Comments

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

Announcements

  • Webinar: Flipping the 80/20 Rule for Analytics - Hear how Teradata helps businesses flip the 80/20 model so they can spend only 20% preparing and organizing data and 80% on the analytics, accelerating time to value.…
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Weekly Digest - May 18

Posted on May 13, 2015 at 3:30pm 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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  • Think Big - Think Big, a Teradata company, provides data science and engineering services that enable organizations to accelerate…
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Data Science Wars: R versus Python

Posted on May 12, 2015 at 8:30am 5 Comments

Nice infographics by DataCamp. Click here to view the original and commented version. 

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Weekly Digest - May 11

Posted on May 5, 2015 at 11:00am 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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  • How do you leverage IoT for proactive and predictive maintenance in manufacturing? What's the future of manufacturing? Do you know the top 10 ways to increase yields, reduce costs & increase efficiencies? Predictive…
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