Vincent Granville Male Issaquah, WA United States: Like

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How to deal with missing data

Started this discussion. Last reply by Prateek Baranwal Feb 6. 1 Reply 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 Dennis Sweitzer Feb 7. 6 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 Prateek Baranwal Feb 6. 2 Replies 0 Likes

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Question about the big O notation

Started this discussion. Last reply by Prateek Baranwal Feb 6. 7 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 2 blog posts were featured

6 hours ago

Vincent Granville posted a blog post

Weekly Digest, March 30

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

6 hours ago

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Mohamed A. Maksoud liked Vincent Granville's blog post Selected Recent Articles from Top DSC Contributors - Part 7

11 hours ago

Charles Dao Minh Vuong liked Vincent Granville's blog post 18 Great Blogs Posted in the last 12 Months

11 hours ago

Vincent Granville posted a blog post

Thursday News, March 26

Here is our selection of featured articles, forum questions and technical resources posted since Monday:Technical ContributionsSimulating COVID-19 with Agent-Based Modeling Ontologies and Semantic Annotation - Part 2: Developing an Ontology…See More

Thursday

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Pedram Sadr liked Vincent Granville's blog post If data science is in demand, why is it so hard to get a job?

Wednesday

John Lewis commented on Vincent Granville's blog post Three periodic tables for data scientists

"Thanks for reminding me of this table. When I click on the link (only on the original article). I get a page that is no longer there. Is there an updated link to the original article? Thanks. JohnL"

Wednesday

Mohamed A. Maksoud liked Vincent Granville's blog post Weekly Digest, March 23

Tuesday

Achnine Rachid liked Vincent Granville's blog post Weekly Digest, March 23

Tuesday

Vincent Granville's blog post was featured

Weekly Digest, March 23

Mar 22

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Vincent Granville's blog post was featured

Time Series and Decentralized Networks - Upcoming free webinar

Date: 3/24/2020Time: 9:00 AM PDTDuration: 60 MinutesSummaryA distributed network is key to providing storage at lower costs than other cloud providers. By equipping customers with fast, secure and fully distributed storage, users no longer need to manage infrastructure. This platform enables applications to store and share end-to-end encrypted data across a distributed network. Discover how a time series database is a key component to their service.…See More

Mar 20

0 Comments 1 Like

Vincent Granville posted a blog post

Thursday News, March 19

Here is our selection of featured resources and articles posted since Monday.ResourcesMid-Career Switching into Data Science and Data Engineering 5 Most Important Skills of a Data Scientist…See More

Mar 19

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Vincent Granville liked Andrei Macsin's page Online Random Number Generator

Mar 18

Lance Norskog commented on Vincent Granville's blog post Tech Target Acquires Data Science Central

"Congratulations!"

Mar 16

Shankar S liked Vincent Granville's blog post Tech Target Acquires Data Science Central

Mar 15

Vincent Granville's blog post was featured

Weekly Digest, March 16

Mar 15

0 Comments 1 Like

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/

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AI and Data Science Adoption Survey

Posted on March 29, 2020 at 3:14pm 0 Comments 0 Likes

Experts agree, the global AI, data science and big data markets are poised for significant growth over the next 5 year period. On behalf of Data Science Central and TechTarget, we invite you to share your thoughts on the current state of AI and data science adoption at your organization. Your feedback is very important to us and will help us further enhance the type of high-quality content experience you’ve come to expect from datasciencecentral.com.

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