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William Vorhies
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William Vorhies's Discussions

Will all that data in the hands of Google or Facebook lead to a good result or bad?

Started this discussion. Last reply by Mab Alam May 28, 2018. 2 Replies

Two years ago Google X, the moonshot lab within Google prepared a speculative 9 minute video for in-house consumption called "The Selfish Ledger".  Recently the video was leaked and found its way…Continue

Tags: transperancy, privacy, the selfish ledger

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William Vorhies's blog post was featured

The Coming Revolution in Recurrent Neural Nets (RNNs)

Summary: Recurrent Neural Nets (RNNs) are at the core of the most common AI applications in use today but we are rapidly recognizing broad time series problem types where they don’t fit well.  Several alternatives are already in use and one that’s just been introduced, ODE net is a radical departure from our way of thinking about the solution. Recurrent Neural Nets (RNNs)…See More
Monday
Basharat Hameed liked William Vorhies's blog post A Step-by-Step Plan for Getting Your Company Started with Predictive Analytics – Part 1
Monday
Stephan O'Bryan liked William Vorhies's blog post NLP Picks Bestsellers – A Lesson in Using NLP for Hidden Feature Extraction
Sep 11
William Vorhies's blog post was featured

Faster Better Cheaper Image Recognition

Summary:  In the literal blink of an eye, image-based AI has gone from high cost, high risk projects to quick and reasonably reliable.  C-level execs looking for AI techniques to exploit need to revisit their assumptions and move these up the list.  Here’s what’s changed. For data scientists these are miraculous times.  We tend to think of miracles as something that occurs instantaneously but in our world that’s not quite so.  Still the rate of change in deep learning, particularly in image…See More
Sep 10
Mirio De Rosa liked William Vorhies's blog post NLP Picks Bestsellers – A Lesson in Using NLP for Hidden Feature Extraction
Sep 7
Tim Matteson liked William Vorhies's blog post NLP Picks Bestsellers – A Lesson in Using NLP for Hidden Feature Extraction
Sep 4
FabioPorto liked William Vorhies's blog post NLP Picks Bestsellers – A Lesson in Using NLP for Hidden Feature Extraction
Sep 3
William Vorhies's blog post was featured

NLP Picks Bestsellers – A Lesson in Using NLP for Hidden Feature Extraction

Summary:  99% of our application of NLP has to do with chatbots or translation.  This is a very interesting story about expanding the bounds of NLP and feature creation to predict bestselling novels.  The authors created over 20,000 NLP features, about 2,700 of which proved to be predictive with a 90% accuracy rate in predicting NYT bestsellers. It’s a pretty rare…See More
Sep 3
William Vorhies posted a blog post

NLP Picks Bestsellers – A Lesson in Using NLP for Hidden Feature Extraction

Summary:  99% of our application of NLP has to do with chatbots or translation.  This is a very interesting story about expanding the bounds of NLP and feature creation to predict bestselling novels.  The authors created over 20,000 NLP features, about 2,700 of which proved to be predictive with a 90% accuracy rate in predicting NYT bestsellers. It’s a pretty rare…See More
Sep 3
Amy Shanker liked William Vorhies's blog post Where and How is AI Actually Being Adopted
Sep 3
William Vorhies's blog post was featured

Where and How is AI Actually Being Adopted

Summary:  Adoption of AI/ML by larger companies has more than doubled since last year according to these survey results from McKinsey and Stanford’s Human-Centered AI Institute.  This new data gives us a much better idea of which global regions and which industries are adopting which AI/ML techniques. We know we’ve entered the era of exploitation of AI/ML but the $64…See More
Sep 2
Anthony Fiedler liked William Vorhies's blog post Calibrated Quantum Mesh – Better Than Deep Learning for Natural Language Search
Aug 31
William Vorhies's blog post was featured

From Optimization to Prescriptive Analytics

Summary:  True prescriptive analytics requires the use of real optimization techniques that very few applications actually use.  Here’s a refresher on optimization with examples of where and how they’re best used. Predictive analytics and optimization have gone hand in hand since the very beginning.  But in 2014 some erudite journal decided we needed another phrase for…See More
Aug 28
Tim Matteson liked William Vorhies's blog post One Shot Learning and Other Strategies for Reducing Training Data
Aug 20
William Vorhies's blog post was featured

One Shot Learning and Other Strategies for Reducing Training Data

Summary: Not enough labeled training data is a huge barrier to getting at the equally large benefits that could be had from deep learning applications.  Here are five strategies for getting around the data problem including the latest in One Shot Learning. For at least the last two years we’ve been in an interesting period in which data, specifically training data is more…See More
Aug 20
Sebastien Lefebvre liked William Vorhies's blog post Doctors are from Venus, Data Scientists from Mars – or Why AI/ML is Moving so Slowly in Healthcare
Aug 16

Profile Information

Short Bio
Editorial Director for DataScienceCentral. President and Chief Data Scientist at Data-Magnum, providing predictive analytics and big data infrastructure projects as a service. Bill has been an active commercial predictive modeler since 2001.
My Web Site Or LinkedIn Profile
http://www.data-magnum.com
Professional Status
C-Level
Years of Experience:
15
Your Company:
Data-Magnum, LLC
Industry:
big data and predictive analytics
Your Job Title:
President & Chief Data Scientist
Interests:
Networking, New venture

William Vorhies's Blog

NLP Picks Bestsellers – A Lesson in Using NLP for Hidden Feature Extraction

Posted on September 3, 2019 at 7:35am 0 Comments

Summary:  99% of our application of NLP has to do with chatbots or translation.  This is a very interesting story about expanding the bounds of NLP and feature creation to predict bestselling novels.  The authors created over 20,000 NLP features, about 2,700 of which proved to be predictive with a 90% accuracy rate in predicting NYT bestsellers.

 …

Continue

Automated Machine Learning for Professionals - Updated

Posted on August 5, 2019 at 7:11am 0 Comments

Summary: As the Automated Machine Learning (AML) movement got underway a few years back there was an early branch between proprietary platforms and open source platforms.  In this article we’ll update you on leading open source AML tools.  Since they continue to require fluency in Python or R we label them “professional”.

 …

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Calibrated Quantum Mesh – Better Than Deep Learning for Natural Language Search

Posted on July 29, 2019 at 8:02am 0 Comments

Summary:  Move over RNN/LSTM, there’s a new algorithm called Calibrated Quantum Mesh that promises to bring new levels of accuracy to natural language search and without labeled training data.

 

There’s a brand new algorithm for natural language search (NLS) and natural language understanding (NLU) that not…

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Measuring Progress Toward AGI Is Hard

Posted on July 22, 2019 at 7:33am 0 Comments

Summary:  Artificial General Intelligence (AGI) is still a ways off in the future but surprisingly there’s been very little conversation about how to measure if we’re getting close.  This article reviews a proposal to benchmark existing AIs against animal capabilities in an Animal-AI Olympics.  It’s a real thing and just now accepting entrants.

 …

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At 9:08pm on July 27, 2015, Ziauddin Syed said…

Dear William,

Congratulation to you on your promotion to Editorial Director for the Data Science Central Network (DSC). 

Regards,

Zia

 
 
 

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