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Vincent Granville
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  • Issaquah, WA
  • United States
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Latest Activity

Yuecai Zhu replied to Vincent Granville's discussion The Guide to Learning Python for Data Science
"Hi Vincent, You forget to mention Spark Python API in your tutorial, which is for big data processing and analysis. Also, a real data scientist should know sql, instead of learning pandas, I would suggest to learn sql. Thanks"
Apr 22
Vincent Granville posted a discussion

The Guide to Learning Python for Data Science

Python is widely used for data analysis and you might have considered learning it yourself (if not, or if you’re still looking for that bit of extra motivation to get started, see why you should be learning Python when clicking on the link below). Of course, learning on your own can be a challenge and some guidance is always helpful. Guidance to learn Python for working with data is exactly what this article will provide you with.We discuss steps that you should take for learning Python…See More
Apr 22
Vincent Granville posted a discussion

Great Friday Reading

An article posted last September suddenly became very popular this week. It is about 15 deep learning libraries in various languages. You can check it out here.Below are the four first libraries listed in the article. You can access and download them…See More
Apr 8
Vincent Granville posted a discussion

Variance, Clustering, and Density Estimation Revisited

Long, easy-to-read article about state-of-the-art data science techniques that you won't learn in a traditional curriculum. It can efficiently solve many problems, for instance in marketing and finance.This article has the following sections:IntroductionGeneral Principle: Working on the Grid, not on the Original SpaceDensity EstimationHow to handle non-numeric variables?Supervised ClusteringOptimizing the ComputationsScale-Invariant Variance Historical NotesAbout the Author…See More
Mar 30

Profile Information

Short Bio:
Well rounded, visionary data science executive 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 (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. 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.
My Website or LinkedIn Profile (URL):
http://www.linkedin.com/in/vincentg
Field of Expertise:
Data Mining, Marketing Databases, Web Analytics, Statistical Consulting, Other
Years of Experience in Analytical Role:
15+
Professional Status:
C-Level
Interests:
Networking, New Venture, Other
What is your Favorite Data Mining or Analytical Website?
http://www.analyticbridge.com
What Other Analytical Website do you Recommend?
http://www.datasciencecentral.com
Your Company:
Data Shaping Solutions
Industry:
Internet
How did you find out about AnalyticBridge?
Founder

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Vincent Granville's Blog

50 IoT (Internet of Things) Predictions for 2016

IoT and data science are intertwined, as sensor data from wearables, transportation or healthcare systems, manufacturing and engineering, needs to be collected, refined, aggregated and processed by automated data science systems to deliver insights and value.

We posted a list of interesting articles late last year on this topic, and some IoT data sets…

Continue

Posted on January 11, 2016 at 12:00pm

Saturday Reading

Enjoy these 3 articles, two of them published today, and the other one still very popular after more than a year.

Continue

Posted on December 19, 2015 at 10:12am

Great Friday Reading

Here is our recommended list for this Friday, including articles posted today!

Non-technical:

Continue

Posted on December 18, 2015 at 11:47am

Great Friday Reading

My selection: these were posted today and yesterday.

Continue

Posted on December 4, 2015 at 11:00am

Great Friday Reading

Contents: three new articles worth reading, posted today; one recently posted and very popular; and a link to our past Thursday digest (at the bottom of this message) if you missed it because of Thanksgiving.

The ABCD's of Business Optimization 

I was trying to find some good domain name for our upcoming business science website, when something suddenly became clear to me. Many of us…

Continue

Posted on November 27, 2015 at 12:00pm

Comment Wall (79 comments)

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At 1:15am on June 24, 2013, Hina Ranglani said…
sir,looking for a answer how
scaling up for high dimensional data& high speed data streams..
At 4:07am on April 12, 2013, Nene Lawani said…
Thanks Vincent! Sorry I missed this earlier...
At 4:06pm on March 10, 2013, Serge Kozlov said…

Thanks for the invite!

At 10:52am on March 10, 2013, Robert Downing said…

Thanks for the invite!

At 3:41am on March 9, 2013, Shane Campbell said…

vincent, 

thanks for adding me. can i ask you why you choose to add people like me? didn't see it coming?

regards,

shane

At 11:23am on March 8, 2013, Madhusudan Dusi said…

Vincent

Thanks a ton for the friendship, it matters a lot, so happy to accept your hand of friendship

Cheers & Regards

Madhusudan

At 6:37am on February 21, 2013, hunter.robertallan said…

Thanks also for the invite. I do have a question about data mining methods and tools. I have a specific situation in mind at work, and would like some professional feedback. Anyone willing to lend an ear and opinion..? thanks...rob

At 4:01am on February 17, 2013, Rishi Jain said…

Hey Vincent,

 

Sometime back I saw internship material on your site. I am working in the Analytics Industry and looking for improving my technical skills. Please let me know in case you guys are offering any internships which I can pursue along with my job.

Regards,

Rishi

At 3:04pm on December 19, 2012, Vickie Comrie said…

Thanks Vincent!  I am honored to be your friend.

Cheers,

Vickie

At 1:05pm on September 29, 2012, Ankit Sharma said…

Thank you Vincent. 

 
 
 

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