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

Do VC's Help Create or Destroy Innovation?

Started Nov 8 0 Replies

The answer is not black and white, but here are some of my thoughts:It is very difficult to beat VC-funded companies competing with you, even if you have a better mouse trap. They don't care if they…Continue

Looking for a search engine useful for professional data scientists

Started this discussion. Last reply by Lance Norskog Nov 12. 1 Reply

I can barely find anything valuable on Google anymore, it looks like most of search result pages display either stuff for beginners, like high school students, or a few technical very advanced papers…Continue

New Mathematical Conjecture?

Started this discussion. Last reply by Vincent Granville Nov 2. 1 Reply

I thought the following fact was trivial, but could not find a proof anywhere. The proportion of integers with an odd number of distinct prime factors seems to be 1/2 as you would expect, but it…Continue

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

 

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

Serik Serikbay liked Vincent Granville's blog post There Are Lies, Damn Lies, And Journalism
2 hours ago
Adriano A. Santos liked Vincent Granville's discussion Update about our data Science Certification
8 hours ago
Tamer Abdulhamed commented on Vincent Granville's blog post My Data Science Book - Table of Contents
"Great Book !"
8 hours ago
Tamer Abdulhamed liked Vincent Granville's blog post Free Book: Applied Stochastic Processes
8 hours ago
Vincent Granville posted a blog post

Weekly Digest, December 17

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. To subscribe, follow this link.  Featured Resources and Technical Contributions …See More
14 hours ago
Marcelo Valhof commented on Vincent Granville's blog post New Book: Enterprise AI - An Applications Perspective
"Thanks Dr. Granville, I hope this book will offer us very useful insights for whom are working different implementations from a non traditional approaches."
16 hours ago
Marcelo Valhof liked Vincent Granville's blog post Free Book: Applied Stochastic Processes
16 hours ago
John Lewis liked Vincent Granville's blog post 18 Great Blogs Posted in the last 12 Months
18 hours ago
Michael Logothetis liked Vincent Granville's blog post Invitation to Join Data Science Central
yesterday
Tauheedul Ali liked Vincent Granville's blog post 18 Great Blogs Posted in the last 12 Months
Saturday
Orhan Abuska liked Vincent Granville's blog post 27 Statistical Concepts Explained in Simple English - Part 5
Friday
Vincent Granville posted blog posts
Friday
Daren Scot Wilson liked Vincent Granville's blog post Some Irresistible Integrals, Computed Using Statistical Concepts
Friday
Vincent Granville commented on Vincent Granville's blog post Free Book: Applied Stochastic Processes
"Thank you  Zhongmin. I tried to make the connection between my earlier number theory research about numeration systems, chaos (dynamical systems such as the chaotic version of the logistic map) eventually making the connection to Brownian…"
Thursday
Vincent Granville left a comment for victor zurkowski
"It takes about 24 hours, sometimes less. Any contribution is approved within one day for high quality content such as your answer, and an infinite amount of time for spam submissions. . I read your answer very quickly, not sure if you answered it…"
Thursday
victor zurkowski left a comment for Vincent Granville
"Dear Vincent, Do you know how long does membership approval in "Analytic Bridge" take? I want to submit an answer to the self-correcting random walk problem. The answer is long, and I left a copy of my document (not the final draft)…"
Thursday

Comment Wall (15 comments)

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At 9:13am on December 13, 2018, victor zurkowski said…

Dear Vincent,

Do you know how long does membership approval in "Analytic Bridge" take? I want to submit an answer to the self-correcting random walk problem. The answer is long, and I left a copy of my document (not the final draft) in Github.

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

Vincent Granville's Videos

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Vincent Granville's Blog

Weekly Digest, December 17

Posted on December 16, 2018 at 2:00pm 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. To subscribe, follow this link.  

Featured Resources and Technical…

Continue

27 Statistical Concepts Explained in Simple English - Part 5

Posted on December 14, 2018 at 7:00am 0 Comments

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on…

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Thursday News: Columnar DB, Julia, Power BI, FinTech, AI, Object Detection

Posted on December 13, 2018 at 12:00pm 0 Comments

Here is our selection of featured articles and resources posted since Monday:

Announcement

New Resources

Continue

Weekly Digest, December 10

Posted on December 9, 2018 at 3:30pm 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. To subscribe, follow this…

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