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William Vorhies
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  • Thousand Oaks, CA
  • United States
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John Brandon II. liked William Vorhies's blog post The Data Science Behind AI
Wednesday
William Vorhies's blog post was featured

Indicator Based Recommenders – The One We Missed

Summary:  In our recent article on “5 Types of Recommenders” we failed to mention Indicator-Based Recommenders.  These have some unique features and ease of implementation that may be important in your selection of a recommender strategy. A few weeks ago in the midst of our series on recommenders we published an article “5 Types of Recommenders” in which we offered our view on the primary types of…See More
Tuesday
Dominic Lusinchi commented on William Vorhies's blog post Understanding and Selecting Recommenders
"Thanks, Bill, for an interesting article. FYI: Collaborative Filtering has been around since the late '90s -- at least. See the Proceedings of the 2nd ACM conference on Electronic commerce (2000), which has at least one paper discussing this…"
Tuesday
Ramesh Dontha liked William Vorhies's blog post IoT 101 – Everything You Need to Know to Start Your IoT Project
Monday
Ramesh Dontha commented on William Vorhies's blog post IoT 101 – Everything You Need to Know to Start Your IoT Project
"Bill, As usual a great article. I like the way how you are laying out the open source options available for these projects. Very practical. Thanks"
Monday
William Vorhies's blog post was featured

IoT 101 – Everything You Need to Know to Start Your IoT Project

Summary:  This is the first in a series of articles aimed at providing a complete foundation and broad understanding of the technical issues surrounding an IoT or streaming system so that the reader can make intelligent decisions and ask informed questions when planning their IoT system. In This ArticleIn Lesson 2…See More
Feb 13
Todd Schwendiman liked William Vorhies's blog post The Data Science Behind AI
Feb 13
Jim Massey commented on William Vorhies's blog post Picking an Analytic Platform
"Was this meant to be an advertisement? It feels like a thinly veiled one."
Feb 12
Neal Oman liked William Vorhies's blog post The Data Science Behind AI
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Feb 10
William Vorhies commented on Lee Baker's blog post How to Clean Your Data Quickly in 5 Steps
"Great article and very well written."
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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

Indicator Based Recommenders – The One We Missed

Posted on February 14, 2017 at 9:38am 0 Comments

Summary:  In our recent article on “5 Types of Recommenders” we failed to mention Indicator-Based Recommenders.  These have some unique features and ease of implementation that may be important in your selection of a recommender strategy.

 

A few weeks ago in the midst of our series on recommenders we published an article “5 Types of Recommenders” in which…

Continue

The Data Science Behind AI

Posted on February 7, 2017 at 7:02am 0 Comments

Summary:  For those of you traditional data scientist who are interested in AI but still haven’t given it a deep dive, here’s a high level overview of the data science technologies that combine into what the popular press calls artificial intelligence (AI).

 

We and others have…

Continue

Deep Learning and Recommenders

Posted on January 31, 2017 at 9:54am 0 Comments

Summary:  In this last article in our series on recommenders we look to the future to see how the rapidly emerging capabilities of Deep Learning can be used to enhance recommender performance. 

 

In our first article, “…

Continue

Recommenders: Packaged Solutions or Home Grown

Posted on January 24, 2017 at 2:00pm 0 Comments

Summary:  There are many sources of packaged recommenders including the more comprehensive Digital Personalization platforms.  It’s also possible to code your own.  Here are a few things to consider.

 

In our first article, “…

Continue

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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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