Vincent Granville Male Issaquah, WA United States: Like

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How to deal with missing data

Started Nov 22, 2019 0 Replies 0 Likes

Originally posted by Vincent Ajayi. The most common challenge faced by data scientists (DS) and…Continue

Simulating Distributions with One-Line Formulas, even in Excel

Started this discussion. Last reply by Vincent Granville Nov 12, 2019. 4 Replies 0 Likes

If you don't like using black-box R functions, or you don't have access to these functions, here are simple options to simulate deviates from various distributions. They can even be implemented in…Continue

Moments of Order Statistics

Started this discussion. Last reply by Vincent Granville May 24, 2019. 1 Reply 0 Likes

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Question about the big O notation

Started this discussion. Last reply by Daren Scot Wilson May 27, 2019. 6 Replies 1 Like

We all know that exponential functions grow faster than polynomials. Let us consider the following function: f(n) = n^a ⋅ (log n)^b ⋅ (log log n)^c ⋅ (log log log n)^d⋯ where the leading coefficient…Continue

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Gifts Received (5)

Cowboy Hat From Florent Rudel Ndeffo Red Ribbon From Nitesh Choudhary Red Ribbon From Sankara Kumaravel Red Ribbon From Jessica Qiu

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

Weekly Digest, January 27

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. …See More

19 hours ago

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Raymond K Roberts commented on Vincent Granville's blog post Six Degrees of Separation Between Any Two Data Sets

"Completely random, but this morning I was thinking about Prime Numbers, their properties. I was wondering if data structures (maybe scoped to a firm) could be viewed at discrete items like integers, and then their correlation examined by the ability…"

yesterday

T. E. KALAYCI liked Vincent Granville's blog post 140 Machine Learning Formulas

yesterday

Lance Norskog commented on Vincent Granville's blog post Fast Combinatorial Feature Selection with New Definition of Predictive Power

"Could this be used to trim useless weights out of deep learning networks?"

Friday

Vincent Granville posted a blog post

Thursday News, January 22

Here is our selection of featured articles and technical resources posted since Monday:ResourcesData Science: Do We Really Need Math?Automated Machine Learning Hyperparameter Tuning in Python…See More

Thursday

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Michael Morgan commented on Vincent Granville's blog post Data Science: Do We Really Need Math?

"I can offer a couple of observation on this question that may help data scientists understand the most immediate needs for understanding the need to understand just two basic mathematical concepts. These are not difficult to understand…"

Wednesday

Vincent Granville commented on Vincent Granville's blog post Two New Deep Conjectures in Probabilistic Number Theory

"Two remarks: In figure 2, does the curve cross the X-axis infinitely often? When approximating any number (say Pi) by fractions (ratios of integers) of increasingly large periods as in section 2, only the first L(n) digits of x(n) should be studied…"

Wednesday

Vincent Granville's blog post was featured

Data Science: Do We Really Need Math?

It is sometimes said that you don't need to know math to be a data scientist. Sometimes the opposite is said, after all, data science is supposed to be a science! Regardless, below are a few of my articles featuring how data science and math can benefit from each other - not just math to solve data science problems, but also data science to solve math problems.Articles…See More

Jan 21

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EDDISON HAYDEN LEWIS liked Vincent Granville's blog post New Books and Resources for DSC Members

Jan 21

Vincent Granville's blog post was featured

Weekly Digest, January 20

Jan 19

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TcGyver liked Vincent Granville's blog post New Books and Resources for DSC Members

Jan 19

Prasanth liked Vincent Granville's blog post Answers to dozens of data science job interview questions

Jan 18

Vincent Granville commented on Stephanie Glen's blog post Business Intelligence vs Business Analytics

"Part of me is mathematician. But I think of me as an artist more so than a scientist. But it's just me, I guess. "

Jan 18

Vincent Granville liked Murali Kashaboina's blog post Key Graph Based Shortest Path Algorithms With Illustrations - Part 1: Dijkstra's And Bellman-Ford Algorithms

Jan 17

EDDISON HAYDEN LEWIS liked Vincent Granville's blog post Detecting Fake News, Fake Reviews, Fake Accounts, Fake Pictures

Jan 16

Vincent Granville posted a blog post

Thursday News, January 16

Here is our selection of featured articles and technical resources posted since Monday:ResourcesKey Graph Based Shortest Path Algorithms - Part 1: Dijkstra's And Bellman-FordMulti Gigabyte R data.table for Ohio Voter Registration/History…See More

Jan 16

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Comment Wall (16 comments)

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At 6:53pm on May 04, 2019, Florent Rudel Ndeffo gave Vincent Granville a gift…: Cowboy Hat
Thank you for the documentations. Priceless! :)
From the Gift Store

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…: Red Ribbon
Your posts are very informative and I have learned a lot from them. Thanks for sharing!
From the Gift Store

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…: Red Ribbon
Dear Dr.Vincent, Thanks for preserving such a nice professional web page for Data Analytics, this is really help for the novice like me.
From the Gift Store

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/