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Vincent Granville's Discussions
Generalized Coefficient of Correlation for Non-Linear Relationships
Started this discussion. Last reply by Timothy Gardner Feb 17. 2 Replies 2 Likes
Hiking Challenge
Started this discussion. Last reply by James Hillstrand Feb 27, 2017. 5 Replies 0 Likes
Vincent Granville's Page
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NISHANT JAIN replied to Vincent Granville's discussion Web mining vs. web analytics / advanced web analytics
Vincent Granville posted a blog postThe Death of the Data Scientist
In 2018 Fast Company declared the Data Scientist the best job for the third year in a row, which I wholeheartedly agree with (besides the Director of Fun at the York National Railway Museum), however the role of data scientist, as we know it, will soon have the same fate as the bowling pinsetters, chariot racers, and human alarm clocks.In 2000-2010 data science was dominated by masters of herculean subjects, with PhDs in linear algebra and statistics, combined with expertise in the uncelebrated…See More
Vincent Granville posted a blog postGreat Saturday Reading
Here is our selection of featured articles posted in the last few days:Featured Resources and Technical ContributionsData Science and Machine Learning: Great List of Resources Free eBooks on Data Visualization and Machine Learning …See More
Vincent Granville replied to Paterno III Cobrador's discussion Anomaly Detection"This link could be useful: extreme events. "
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
The Death of the Data Scientist
Posted on July 12, 2018 at 6:30pm 0 Comments 0 Likes
In 2018 Fast Company declared the Data Scientist the best job for the third year in a row, which I wholeheartedly agree with (besides the Director of Fun at the York National Railway Museum), however the role of data scientist, as we know it, will soon have the same fate as the bowling pinsetters, chariot racers, and human alarm clocks.
In 2000-2010 data science was dominated by masters of herculean subjects, with PhDs in linear…
Continue Great Saturday Reading
Posted on July 7, 2018 at 10:16am 0 Comments 0 Likes
Here is our selection of featured articles posted in the last few days:
Featured Resources and Technical Contributions
Continue Great Saturday Reading
Posted on June 30, 2018 at 3:26pm 0 Comments 0 Likes
Here is our selection of featured articles and resources posted in the last few days:
Featured Resources and Technical Contributions
- Comparison of top data science libraries for Python, R and Scala - [Infographic]
- IBM Community Day: Data…
Simple Solution to Feature Selection Problems
Posted on June 20, 2018 at 8:36am 0 Comments 0 Likes
We discuss a new approach for selecting features from a large set of features, in an unsupervised machine learning framework. In supervised learning such as linear regression or supervised clustering, it is possible to test the predicting power of a set of features (also called independent variables by statisticians, or predictors) using metrics such as goodness of fit with the response (the dependent variable), for instance using the R-squared coefficient. This makes the process of feature…
Continue Great Saturday Reading
Posted on June 16, 2018 at 10:00am 0 Comments 0 Likes
Here are our selection of featured contributions posted in the last few days:
Featured Resources and Technical Contributions
ContinueComment Wall (79 comments)
- 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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