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William Vorhies
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  • Thousand Oaks, CA
  • United States
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Latest Activity

Steve de Peijper liked William Vorhies's blog post 5 Types of Recommenders
17 hours ago
Naresh Nelaturi liked William Vorhies's blog post Understanding and Selecting Recommenders
yesterday
Ted Dunning commented on William Vorhies's blog post Understanding and Selecting Recommenders
"Indicator-based recommenders are another important option and probably the most widely used kind of recommender in industry precisely because they can be deployed as an add-on to a search…"
Thursday
Ted Dunning commented on William Vorhies's blog post 5 Types of Recommenders
"You should mention indicator-based recommenders as well. These are mathematically very similar to factorization based collaborative filtering techniques, but take an order or magnitude less compute to maintain. They are also massively easier to…"
Thursday
Daminda Herath liked William Vorhies's blog post 5 Types of Recommenders
Thursday
Sachin Udepurkar commented on William Vorhies's blog post The New Rules for Becoming a Data Scientist
"Great article @Bill Vorhies and Thanks a lot. This article certainly clarifies lot of questions vide classification as stated in article wherein myself as per market segment of Data Science is into Production and type of Data Scientist wherein i am…"
Thursday
Patrick Stroh liked William Vorhies's blog post 5 Types of Recommenders
Wednesday
Stella Chen liked William Vorhies's blog post Understanding and Selecting Recommenders
Wednesday
Parmod Kumar liked William Vorhies's blog post 5 Types of Recommenders
Tuesday
William Vorhies's blog post was featured

5 Types of Recommenders

Summary:  There are five basic styles of recommenders differentiated mostly by their core algorithms.  You need to understand what’s going on inside the box in order to know if you’re truly optimizing this critical tool. In our first article, “…See More
Tuesday
William Vorhies posted a blog post

5 Types of Recommenders

Summary:  There are five basic styles of recommenders differentiated mostly by their core algorithms.  You need to understand what’s going on inside the box in order to know if you’re truly optimizing this critical tool. In our first article, “…See More
Tuesday
Aravind Reddy liked William Vorhies's blog post What are the Big Guys Using?
Tuesday
William Vorhies's blog post was featured

Advanced AI Takes Over the K-12 Classroom for STEM Instruction

Summary:  A great story about an AI-powered massive on-line open learning platform focused on STEM education.  The platform and its content is to be available across many languages to serve students anywhere in preparing for a better life in STEM careers.  If you’re from the US you’re probably feeling some angst as our K-12…See More
Monday
Bernard Antwi Adabankah liked William Vorhies's blog post Understanding and Selecting Recommenders
Monday
Bernard Antwi Adabankah liked William Vorhies's blog post Understanding and Selecting Recommenders
Monday
Kevin Bass liked William Vorhies's blog post Mary Meeker, Analytics, and the Future of the Internet
Jan 15

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
Field of Expertise
Analytics, Data Integration, Big Data, Data Science
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

5 Types of Recommenders

Posted on January 17, 2017 at 9:20am 1 Comment

Summary:  There are five basic styles of recommenders differentiated mostly by their core algorithms.  You need to understand what’s going on inside the box in order to know if you’re truly optimizing this critical tool.

 

In our first article, “…

Continue

Understanding and Selecting Recommenders

Posted on January 10, 2017 at 9:07am 3 Comments

Summary:  In this multi-part series we walk through the full landscape of Recommenders.  In this article we cover business considerations as well as issues for Recommenders as a group.  In the next articles we’ll discuss the details of the five major types of recommenders, improving their performance, and finally the coming impact of deep learning on Recommenders.

 …

Continue

AI Saves the Elephants, Sharks, Frogs, Sea Birds and Everything Else

Posted on January 3, 2017 at 10:11am 0 Comments

Summary:  As deep learning expands those capabilities are finding their way into the not-for-profit community in the service of conserving the earth’s wildlife and forests.

 

The for-profit world may be driving AI but it’s a solution to many problems in the not-for-profit…

Continue

Advanced AI Takes Over the K-12 Classroom for STEM Instruction

Posted on December 27, 2016 at 10:00am 0 Comments

Summary:  A great story about an AI-powered massive on-line open learning platform focused on STEM education.  The platform and its content is to be available across many languages to serve students anywhere in preparing for a better life in STEM careers. 

 

If you’re from the…

Continue

Comment Wall (1 comment)

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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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