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

Can AI Algorithms be Fooled?

Started Jan 12 0 Replies

Can AI systems experience illusions as in human vision? For instance, look at the picture below (click on the image to zoom in.)…Continue

R Performance Tip

Started this discussion. Last reply by Mahboob Alam Jan 6. 1 Reply

I've found the following tweet by Winston Chang. For whatever reasons, it went viral. It compares two pieces of code doing the same thing, but the one at the bottom runs 300 times faster.#rstats…Continue

Do VC's Help Create or Destroy Innovation?

Started Nov 8, 2018 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 Clem Wang Dec 22, 2018. 2 Replies

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

 

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 posted a blog post

Weekly Digest, January 21

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
2 hours ago
Michael Hardy commented on Vincent Granville's blog post Biased vs Unbiased: Debunking Statistical Myths
"For the record: No one familiar with the theory of statistics says that you should only use unbiased estimates, nor even that an unbiased estimate, when available, is better than a biased estimate."
16 hours ago
Rafael Buzin liked Vincent Granville's blog post 22 Differences Between Junior and Senior Data Scientists
Friday
Jingkai Yu liked Vincent Granville's blog post Becoming a Billionaire Data Scientist vs Struggling to Get a $100k Job - What is the difference?
Friday
Chris Barnes liked Vincent Granville's blog post The Death of the Statistical Tests of Hypotheses
Thursday
Chris Barnes liked Vincent Granville's blog post First Doctorship in Data Science
Thursday
Chris Barnes liked Vincent Granville's blog post Statistical Significance and p-Values Take Another Blow
Thursday
Derek Christensen liked Vincent Granville's blog post 47 New External Data Science / Machine Learning Resources and Articles
Thursday
Vincent Granville posted blog posts
Thursday
Tun Lin liked Vincent Granville's blog post Invitation to Join Data Science Central
Thursday
Domingo Cordero commented on Vincent Granville's blog post Becoming a Billionaire Data Scientist vs Struggling to Get a $100k Job - What is the difference?
"Vincent,  Awesome Post for an Inspirational 2019."
Wednesday
Ariel Fuentes liked Vincent Granville's blog post If data science is in demand, why is it so hard to get a job?
Wednesday
Patrick J. Hagan commented on Vincent Granville's blog post If data science is in demand, why is it so hard to get a job?
"So true. I noticed over 5,000 people viewed this article, but only 4 liked it. I guess people are not happy with how reality really works. I am a good example. I have over 40 years of mainframe IT experience and I have been intensely studying all…"
Wednesday
Vincent Granville commented on Vincent Granville's blog post Why You Should be a Data Science Generalist - and How to Become One
"Hi Geoff, I believe that getting too many high credentials (PhD's, patents, books, etc.) will hurt you just as much as having too few. At best, if everything goes well. you will end up being a multi-millionaire, but not a billionaire.  My…"
Wednesday
Geoff Gordon commented on Vincent Granville's blog post Why You Should be a Data Science Generalist - and How to Become One
"Hi Vincent, Thanks for sharing this post.  Could you speak to "how to become one" a bit, particularly the need for an advanced degree, and the PhD vs. MS options? Thanks Geoff"
Tuesday
Faisal Ghazy Khamis liked Vincent Granville's blog post 26 Statistical Concepts Explained in Simple English - Part 6
Tuesday

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
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, January 21

Posted on January 20, 2019 at 9:00am 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. To subscribe, follow this link.  

Featured Resources and Technical…

Continue

Thursday News: Math of Deep Learning, Python, DataViz, R, NLP, AI in Healthcare, Books

Posted on January 17, 2019 at 9:35am 0 Comments

Here is our list of featured articles and technical contributions posted since Monday.

Resources

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900 Most Popular DS & ML Articles in 2018

Posted on January 16, 2019 at 2:51pm 0 Comments

Not all these contributions were from 2018, but the few selected below were among the most visited in 2018. Some were heavily featured, so it does not mean that they represent the average DSC interest. A bigger list featuring 900+ most popular articles can be found here. I am still working on categorizing them, and may hire an intern to work on this project, using…

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19 Controversial Articles about Data Science

Posted on January 14, 2019 at 11:59am 0 Comments

You will find here an unusual perspective and opinions about data science. These articles may resonate well with senior data scientists and decision makers who manage the data science budget in their companies, but not so well with junior data scientists (assuming it is possible to be both junior and data scientist.) Professionals in fields such as operations research, physics, engineering, FinTech, econometrics, biostatistics might find this content refreshing, even if they don't call…

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