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Vincent Granville
  • Male
  • Issaquah, WA
  • United States
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Vincent Granville's Page

Latest Activity

M. Sorensen replied to Vincent Granville's discussion Free eBook: Practical Data Cleaning in the group New Books and Journals
"Practical Data Cleaning 2nd ed. available here http://worldofpiggy.com/wp-content/uploads/2015/10/practicaldatacleaning.pdf Hope it helps. Miguel"
21 hours ago
Vincent Granville posted a discussion

Great Saturday Reading

The following articles were posted in the last few days.Short Introduction to Complexity Science  - It is quite difficult at first to precisely define ‘Complexity Science’. It is a new perspective of methodology and modeling approaches that are based more on reality than assumptions. Quite simply put, Complexity Science is a new way to grasp and manage reality.…See More
Jun 25
Antonio replied to Vincent Granville's discussion How are hotel room rates determined
"I think the major part of hotel room brokers only take in acount competitor prices and inventory"
Jun 22
Vincent Granville posted a discussion

More Great Data Science Resources

These articles from around the web, were hand-picked and listed this week on Data Science Central. The last one is from one of our bloggers. This is is a follow up to our previous article 8 Great Data Science Resources sent last Thursday.In the coming weeks, we will post articles from rock star data scientists, more advanced or technical content, and other popular contributions, each…See More
Jun 16

Profile Information

Short Bio:
Well rounded, visionary data science executive with broad spectrum of domain expertise, technical knowledge, and proven success in bringing measurable added value to companies ranging from startups to fortune 100, across multiple industries (finance, Internet, media, IT, security) and domains (data science, operations research, machine learning, computer science, business intelligence, statistics, applied mathematics, growth hacking, IoT).

Vincent developed and deployed new techniques such as hidden decision trees (for scoring and fraud detection), automated tagging, indexing and clustering of large document repositories, black-box, scalable, simple, noise-resistant regression known as the Jackknife Regression (fit for black-box, real-time or automated data processing), model-free confidence intervals, bucketisation, combinatorial feature selection algorithms, detecting causation not correlations, and generally speaking, the invention of a set of consistent robust statistical / machine learning techniques that can be understood, implemented, interpreted, leveraged and fine-tuned by the non-expert. Vincent also invented many synthetic metrics (for instance, predictive power and L1 goodness-of-fit) that work better than old-fashioned stats, especially on badly-behaved sparse big data. Some of these techniques have been implemented in a Map-Reduce Hadoop-like environment. Some are concerned with identifying true signal in an ocean of noisy data.

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 Number Theory, IEEE Pattern analysis and Machine Intelligence, Journal of the Royal Statistical Society, Series B), a Wiley book on data science, and is an invited speaker at international conferences. Vincent also created the first IoT platform to automate growth and content generation for digital publishers, using a system of API's for machine-to-machine communications, involving Hootsuite, Twitter, and Google Analytics.

Vincent's profile is accessible at http://bit.ly/1jWEfMP and includes top publications, presentations, and work experience with Visa, Microsoft, eBay, NBC, Wells Fargo, and other organisations.
My Website or LinkedIn Profile (URL):
http://www.linkedin.com/in/vincentg
Field of Expertise:
Data Mining, Marketing Databases, Web Analytics, Statistical Consulting, Other
Years of Experience in Analytical Role:
15+
Professional Status:
C-Level
Interests:
Networking, New Venture, Other
What is your Favorite Data Mining or Analytical Website?
http://www.analyticbridge.com
What Other Analytical Website do you Recommend?
http://www.datasciencecentral.com
Your Company:
Data Shaping Solutions
Industry:
Internet
How did you find out about AnalyticBridge?
Founder

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Vincent Granville's Blog

Big Data's Most Influential Rock Stars: 10 Must-Follow Leaders

This list of hand-picked leaders was compiled by Wojtek Aleksander, from GetResponse.

Other bigger lists (sometimes created by robots) can be found here and are usually based on your Klout Score, which in my opinion is not accurate. The list in uestion is truly original and I would even add, somewhat unexpected, as you won't find Bernard Marr, Kirk Borne and other well known gurus.…

Continue

Posted on May 14, 2016 at 3:11pm

50 IoT (Internet of Things) Predictions for 2016

IoT and data science are intertwined, as sensor data from wearables, transportation or healthcare systems, manufacturing and engineering, needs to be collected, refined, aggregated and processed by automated data science systems to deliver insights and value.

We posted a list of interesting articles late last year on this topic, and some IoT data sets…

Continue

Posted on January 11, 2016 at 12:00pm

Saturday Reading

Enjoy these 3 articles, two of them published today, and the other one still very popular after more than a year.

Continue

Posted on December 19, 2015 at 10:12am

Great Friday Reading

Here is our recommended list for this Friday, including articles posted today!

Non-technical:

Continue

Posted on December 18, 2015 at 11:47am

Great Friday Reading

My selection: these were posted today and yesterday.

Continue

Posted on December 4, 2015 at 11:00am

Comment Wall (79 comments)

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At 1:15am on June 24, 2013, Hina Ranglani said…
sir,looking for a answer how
scaling up for high dimensional data& high speed data streams..
At 4:07am on April 12, 2013, Nene Lawani said…
Thanks Vincent! Sorry I missed this earlier...
At 4:06pm on March 10, 2013, Serge Kozlov said…

Thanks for the invite!

At 10:52am on March 10, 2013, Robert Downing said…

Thanks for the invite!

At 3:41am on March 9, 2013, Shane Campbell said…

vincent, 

thanks for adding me. can i ask you why you choose to add people like me? didn't see it coming?

regards,

shane

At 11:23am on March 8, 2013, Madhusudan Dusi said…

Vincent

Thanks a ton for the friendship, it matters a lot, so happy to accept your hand of friendship

Cheers & Regards

Madhusudan

At 6:37am on February 21, 2013, hunter.robertallan said…

Thanks also for the invite. I do have a question about data mining methods and tools. I have a specific situation in mind at work, and would like some professional feedback. Anyone willing to lend an ear and opinion..? thanks...rob

At 4:01am on February 17, 2013, Rishi Jain said…

Hey Vincent,

 

Sometime back I saw internship material on your site. I am working in the Analytics Industry and looking for improving my technical skills. Please let me know in case you guys are offering any internships which I can pursue along with my job.

Regards,

Rishi

At 3:04pm on December 19, 2012, Vickie Comrie said…

Thanks Vincent!  I am honored to be your friend.

Cheers,

Vickie

At 1:05pm on September 29, 2012, Ankit Sharma said…

Thank you Vincent. 

 
 
 

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