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Dr. Vincent Granville
  • Male
  • Issaquah, WA
  • United States
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Dr. Vincent Granville's Discussions

Using colors rather than digits, chars, biometrics or keywords, for authentication

Started this discussion. Last reply by Kurt Cagle Jul 28. 2 Replies

What if instead of entering a password or code, for a captcha, pin number or other authentication, you were asked to select four colors, each one out of 256 potential colors? In short, you password…Continue

Growth of mobile Internet by country

Started this discussion. Last reply by Srinivasavaradan KR Jul 10. 1 Reply

Mobile usage is growing much faster than desktop or laptop. But is the growth of mobile Internet traffic fueled by India (which is nearly 100% mobile), or is it just as strong in US?Continue

$320,000 for a Java architect: Discussion about High Salaries

Started this discussion. Last reply by Thane Jess Jun 15. 1 Reply

Found the message below in my mailbox today. Is such a high salary possible? The subject line was "$320,000 Java architect/developer with Cloud computing and Big Data experience". Here's the message…Continue

100+ R tutorials, code snippets, libraries and resources

Started this discussion. Last reply by Vasanth Gopal May 26. 1 Reply

This is part of our series about how programming languages and platforms used to deliver successful data science nuggets. Our previous articles were about…Continue

Gifts Received (3)

 

Dr. Vincent Granville's Page

Profile Information

Short Bio
Well rounded, visionary data scientist 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), domains (data science, operations research, machine learning, computer science, business intelligence, statistics, applied mathematics, growth hacking, IoT) and roles (data scientist, founder, CFO, CEO, HR, product development, marketing, media buyer, operations, management consulting).

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, automated exploratory data analysis with data dictionaries, data videos as a visualization tool, automated data science, 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. He also holds a few patents on scoring technology, and raised $6 MM in VC funding for his first startup. 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 Web Site Or LinkedIn Profile
http://www.linkedin.com/in/vincentg
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

Well rounded, visionary data scientist 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 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.

Latest Activity

Altan Atabarezz liked Dr. Vincent Granville's group Data Science Apprenticeship
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Eren Okur liked Dr. Vincent Granville's blog post Decision Boundaries for Deep Learning and other Machine Learning classifiers
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Life Skipper liked Dr. Vincent Granville's blog post Data Science 2.0.
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abbas Shojaee liked Dr. Vincent Granville's blog post 16 analytic disciplines compared to data science
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Yasir NoorUldeen liked Dr. Vincent Granville's group Data Science Certification
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Dr. Vincent Granville liked John Thuma's blog post Optimizing your search functionality on your website
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Arturo Martín liked Dr. Vincent Granville's discussion Comprehensive list of data science resources
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Matt Burgess liked Dr. Vincent Granville's discussion Free, On-Demand Data Science Program to Quickly Become a Data Scientist
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Mohit Sambhar liked Dr. Vincent Granville's blog post What is the Internet of Everything (IoE)?
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Sridhar R Cooram liked Dr. Vincent Granville's blog post Tutorial: How to detect spurious correlations, and how to find the real ones
Saturday
Bala R Subramanian liked Dr. Vincent Granville's blog post Six categories of Data Scientists
Friday
Dr Vincent Micali commented on Dr. Vincent Granville's blog post 10 Modern Statistical Concepts Discovered by Data Scientists
"Well and diplomatically said  Prof Hart Dear Vincent, Having served as a Statistician analysing Data for 40 years, there is a touch of arrogance in the statement that Statisticians "... they know everything". For the lucid Data…"
Friday
Dr. Vincent Granville updated their profile
Friday
Michael Alfes liked Dr. Vincent Granville's blog post Invitation to join Data Science Central
Friday
Chris liked Dr. Vincent Granville's discussion Big Data, IoT and SQL on Hadoop – Pivotal Webinar Replays
Thursday
Dr. Vincent Granville commented on Bhavani Raskutti's blog post Do data scientists need to be domain experts to deliver good analytics?
"It certainly doesn't hurt to have domain expertise. In my practice, being a domain expert not only reduces costs (no need to hire someone else) but also efficiency, as I can see how to make all the pieces (business side, product development,…"
Thursday

Comment Wall (11 comments)

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At 5:05pm on June 21, 2015, Sankara Kumaravel gave Dr. Vincent Granville a gift
At 5:28am on June 15, 2015, Lissy Able said…

Hi Vincent,

Can you suggest some points or links about serious data quality issue with the information pulled.

Thanks

Lissy

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?  

Dr. Vincent Granville's Videos

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Dr. Vincent Granville's Blog

Weekly Digest, August 3

Posted on July 29, 2015 at 8:30am 0 Comments

The full version is always published Monday. Starred articles are new additions or updated content, posted between Thursday and Sunday. The picture of the week is from the contribution marked with a +, where you will find the details.

Featured

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Simple rules to catch web spam

Posted on July 27, 2015 at 4:00pm 0 Comments

By web spam, we mean any technique - using Botnets or other forms of fake clicks - to manipulate web traffic statistics, to make your articles appear at the top on search results pages or other list of top articles. Web spam techniques exploit weaknesses in traffic monitoring algorithms.  In the most simplest form, a rogue author will crawl his articles dozens or hundreds of times a day, hoping to be featured in the list of most popular articles.…

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Weekly Digest - July 27

Posted on July 22, 2015 at 12:30pm 0 Comments

The full version is always published Monday. Starred articles are new additions or updated content, posted between Thursday and Sunday. The picture of the week is from the contribution marked with a +, where you will find the details.

Announcements

  • Predictive Analytics World for Business, September 27 - October 1 in Boston,…
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31 external machine learning / data science resources and articles

Posted on July 21, 2015 at 11:00am 0 Comments

Starred articles are candidates for the picture of the week. A comprehensive list of all past resources is found here. We are in the process of automatically categorizing them using indexation and automated tagging…

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