Subscribe to DSC Newsletter
Vincent Granville
  • Male
  • Issaquah, WA
  • United States
Share on Facebook
Share

Vincent Granville's Friends

  • Olga Collins
  • Rob Conn
  • Bhaskara Reddy B
  • Kimberly Stewart
  • Ramesh Kumar Singh
  • Mahsa Hassankashi
  • Travis Meeks
  • José Bautista
  • Ken Craig, CIR
  • matt corkum
  • Keith Maclaren
  • George F. Hart
  • Ken Mooney
  • Charles Fox
  • Antoine Bruyns

Vincent Granville's Discussions

Are data science or stats curricula in US too specialized?

Started this discussion. Last reply by Vincent Granville Sep 12. 2 Replies

I earned my education in Belgium and never attended college in US, so it is hard for me to answer this question, even though all my professional experience and career took place in US. Yet sometimes…Continue

Analytic-related domain names for sale

Started Aug 11 0 Replies

I have a few domain names that I haven't used in years, on Network Solutions. I've tried to find their valuation using a Godaddy tool (they use a data science algorithm, supposedly!) and here is my…Continue

Using AI to Write Articles and Research Papers

Started Jun 17 0 Replies

I am wondering if news outlets sometimes use bots to write articles. I've seen in the past articles that looked like they were written by a bot. The sentences didn't make much sense, and it almost…Continue

Will GDPR kill business in Ireland?

Started this discussion. Last reply by James Theobald Jun 7. 2 Replies

Companies such as Facebook and Apple use Ireland as a tax shelter, with great benefits for them. As billion of dollars in lawsuits could result from GDPR, will Ireland still be able to attract big…Continue

 

Vincent Granville's Page

Profile Information

Short Bio
Data science pioneer, founder, author, CEO, investor, 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 here and includes top publications, presentations, and work experience with Visa, Microsoft, eBay, NBC, Wells Fargo, and other organisations.

Follow me on Twitter at @AnalyticBridge.
My Web Site Or LinkedIn Profile
http://www.linkedin.com/in/vincentg
Professional Status
C-Level
Years of Experience:
15
Your Company:
Data Science Central, AnalyticBridge
Industry:
Internet
Your Job Title:
Executive Data Scientist, Co-Founder
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

Data science pioneer, founder, author, CEO, investor, 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

Vincent Granville's blog post was featured

Invitation to Join Data Science Central

Join the largest community of machine learning (ML), deep learning, AI, data science, business analytics, BI, operations research, mathematical and statistical professionals: Sign up here. If instead, you are only interested in receiving our newsletter, you can subscribe here. There is no cost.…See More
13 hours ago
Hoang CHi THang liked Vincent Granville's discussion Addendum to my data science book (updated)
16 hours ago
Mahendra Das liked Vincent Granville's blog post 9 Off-the-beaten-path Statistical Science Topics with Interesting Applications
yesterday
Pouya Esmailian liked Vincent Granville's blog post Free Book: Applied Stochastic Processes
yesterday
Mark Cramer commented on Vincent Granville's blog post Free Book: Applied Stochastic Processes
"Thank you! I took a Continuous Time Finance course in college (Prof. Robert Merton - I think I still have the text book) and I certainly wish I had been able to read this before then. Oh well. I suppose it's never too late."
yesterday
Frederick T Williams liked Vincent Granville's blog post 11 Great Articles about Stochastic Processes and Related Topics
yesterday
Vincent Granville posted a blog post
Thursday
Rick Garnica commented on Vincent Granville's blog post Introduction to Deep Learning
"Great article and second on the Deep Learning book by Ian Goodfellow.  It's great that it's online, but I got a good deal on the hardcover edition and it's worth every penny. I'm a noob to everything DL, ML and data science…"
Wednesday
Brian Foley liked Vincent Granville's blog post Free Book: Applied Stochastic Processes
Wednesday
Brian Foley liked Vincent Granville's blog post Advanced Machine Learning with Basic Excel
Wednesday
Howard Drew liked Vincent Granville's blog post Free eBook: Enterprise AI - An Applications Perspective
Tuesday
Zhongmin Luo liked Vincent Granville's blog post Hitchhiker's Guide to Data Science, Machine Learning, R, Python
Tuesday
Zhongmin Luo liked Vincent Granville's blog post Fascinating Chaotic Sequences with Cool Applications
Tuesday
Randall Harvey commented on Vincent Granville's blog post Hitchhiker's Guide to Data Science, Machine Learning, R, Python
"Great work Vincent, thank you for helping us learn and advance."
Tuesday
Patrik Di Lena liked Vincent Granville's blog post Data Science Cheat Sheet
Tuesday
Patrik Di Lena commented on Vincent Granville's blog post Data Science Cheat Sheet
"I really appreciate this informations .... thank you"
Tuesday

Comment Wall (14 comments)

You need to be a member of Data Science Central to add comments!

Join Data Science Central

At 6:24am on October 01, 2017, Nitesh Choudhary gave Vincent Granville a gift
Gift
Your posts are very informative and I have learned a lot from them. Thanks for sharing!
At 1:37pm on June 23, 2016, Bill Bahl said…

Dr. Granville,

I enjoyed your white paper on Building Dashboards that Flow and could not agree more with minimalism. One thing that seems to be missing from the dashboard packages I've seen is control charts.  At least for the process owner, my personal opinion is a control chart should be the first chart.  If the process is not stable and predicable, statistical analysis seems futile.  Before I retired (two months ago) we started including these in the process owners' LEAN PIT boards.  We generated them in Minitab.  It only takes a few clicks once the data is paste into Minitab.  Bill Bahl

At 12:05pm on February 11, 2016, Dean Pangelinan said…

Dr. Granville,

Regarding the passerelle options for the Data Science certification program, does the notation of "IEEE Computer Science Society - Member" refer to Associate Membership in the IEEE Computer Society, or to full IEEE Membership with additional membership in the IEEE Computer Science Society?

Please advise, at your earliest convenience.

--  Dean Pangelinan

At 5:05pm on June 21, 2015, Sankara Kumaravel gave Vincent Granville a gift
Gift
Dear Dr.Vincent, Thanks for preserving such a nice professional web page for Data Analytics, this is really help for the novice like me.
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 

Vincent Granville's Videos

  • Add Videos
  • View All

Vincent Granville's Blog

Thursday News: ML, Neural Nets (CNN), XGboost, Agile Analytics, Spatial Analytics

Posted on October 18, 2018 at 9:00am 0 Comments

Here is our selection of featured resources, forum questions, and articles posted since Monday.

Resources

Continue

11 Great Articles about Stochastic Processes and Related Topics

Posted on October 16, 2018 at 7:00pm 0 Comments

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting,…

Continue

Weekly Digest, October 15

Posted on October 14, 2018 at 6:00am 0 Comments

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week.

Announcement
  • Verizon—Solutions Engineers (Analysts) - Las Colinas, TX & Cary, NC



    Verizon is looking for Analysts who can use their technical and sales…
Continue

Thursday News: AI, Python, R, Excel, BI, Reinforcement Learning, NLP, 'No Code' Data Science

Posted on October 11, 2018 at 8:00am 0 Comments

This is our selection of featured resources and articles posted since Monday.

Resources (Technical)

Continue
 
 
 

Videos

  • Add Videos
  • View All

Follow Us

© 2018   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service