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William Vorhies
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  • Thousand Oaks, CA
  • United States
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Justin McBride liked William Vorhies's blog post Under the Hood with Reinforcement Learning – Understanding Basic RL Models
6 hours ago
William Vorhies's blog post was featured

Under the Hood with Reinforcement Learning – Understanding Basic RL Models

Summary:  Reinforcement Learning (RL) is likely to be the next big push in artificial intelligence.  It’s the core technique for robotics, smart IoT, game play, and many other emerging areas.  But the concept of modeling in RL is very different from our statistical techniques and deep learning.  In this two part series we’ll take a look at the basics of RL models, how they’re built and used.  In the next part, we’ll address some of the complexities that make development a challenge. Now that we…See More
7 hours ago
William Vorhies posted a blog post

Under the Hood with Reinforcement Learning – Understanding Basic RL Models

Summary:  Reinforcement Learning (RL) is likely to be the next big push in artificial intelligence.  It’s the core technique for robotics, smart IoT, game play, and many other emerging areas.  But the concept of modeling in RL is very different from our statistical techniques and deep learning.  In this two part series we’ll take a look at the basics of RL models, how they’re built and used.  In the next part, we’ll address some of the complexities that make development a challenge. Now that we…See More
8 hours ago
William Vorhies's blog post was featured

The Three Ages of AI – Figuring Out Where We Are

Summary:  Just where are we in the Age of AI, where are we going, and what happens when we get there? When things are changing fast, sometimes it’s necessary to take a step back and see where you are.  It’s very easy to get caught up in the excitement over the details.  The individual data science technologies that underlie AI are all moving forward on different paths at different speeds, but all of those speeds are fast.  So before you change careers or decide that your business ‘needs some of…See More
yesterday
Kimberly Stewart liked William Vorhies's blog post More on Fully Automated Machine Learning
yesterday
Kimberly Stewart commented on William Vorhies's blog post More on Fully Automated Machine Learning
"I love learning more about this subject of Citizen Data Scientist and the AML platforms.  Spent 2 hours yesterday morning, really digging deep into the details behind this subject to include a handful of your blogs, articles, etc.  LOVE…"
yesterday
Gaetano Passannanti liked William Vorhies's blog post Why R is Bad for You
Friday
Justin McBride liked William Vorhies's blog post More on Fully Automated Machine Learning
Aug 16
Vanban Wu liked William Vorhies's blog post Data Scientists Automated and Unemployed by 2025 - Update!
Aug 15
William Vorhies's blog post was featured

More on Fully Automated Machine Learning

Summary:  Recently we’ve been profiling Automated Machine Learning (AML) platforms, both of the professional variety, and particularly those proprietary one-click-to-model variety that are being pitched to untrained analysts and line-of-business managers.  Since our first article, readers have suggested some additional companies we should look at which are profiled here along with some interesting observations about who is buying and why.  …See More
Aug 15
William Vorhies posted a blog post

More on Fully Automated Machine Learning

Summary:  Recently we’ve been profiling Automated Machine Learning (AML) platforms, both of the professional variety, and particularly those proprietary one-click-to-model variety that are being pitched to untrained analysts and line-of-business managers.  Since our first article, readers have suggested some additional companies we should look at which are profiled here along with some interesting observations about who is buying and why.  …See More
Aug 15
William Vorhies's blog post was featured

How to Put AI to Work

Summary:  Whether you are a startup person or data science-minded executive in a larger organization what logic can you apply to spot the most compelling opportunities for AI in your organization. In 2014 Kevin Kelly, founder of Wired magazine and prolific futurist famously said, “The business plans of the next…See More
Aug 14
Kenneth C Black commented on William Vorhies's blog post Why R is Bad for You
"Hi Bill, It took me over 8 months to complete 3 articles that outline my thoughts on this topic, and I have to say that I agree with your basic premise (although I do not necessarily think that R is bad for anyone). Starting in Sept 2016, I…"
Aug 7
Maciej Pietrzak commented on William Vorhies's blog post Using Algorithms to Detect Fake News – The State of the Art
"So www.classify.news is classified as Non-Credible with 59.62% certainty."
Aug 4
Tyler Pietri liked William Vorhies's blog post 5 Types of Recommenders
Aug 3
Ralph Winters commented on William Vorhies's blog post Why R is Bad for You
"Good headline, but I don't think it as dire for R as your article makes it out to be. It is true that drag and drop encourages more collaboration among different participant skill levels (including some managers). In fact, one article I read…"
Aug 3

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

Under the Hood with Reinforcement Learning – Understanding Basic RL Models

Posted on August 22, 2017 at 9:19am 0 Comments

Summary:  Reinforcement Learning (RL) is likely to be the next big push in artificial intelligence.  It’s the core technique for robotics, smart IoT, game play, and many other emerging areas.  But the concept of modeling in RL is very different from our statistical techniques and deep learning.  In this two part series we’ll take a look at the basics of RL models, how they’re built and used.  In the next part, we’ll address some of the complexities that make development a…

Continue

More on Fully Automated Machine Learning

Posted on August 15, 2017 at 2:21pm 1 Comment

Summary:  Recently we’ve been profiling Automated Machine Learning (AML) platforms, both of the professional variety, and particularly those proprietary one-click-to-model variety that are being pitched to untrained analysts and line-of-business managers.  Since our first article, readers have suggested some additional companies we should look at which are profiled here along with some interesting observations about who is buying and why.

 

 …

Continue

Automated Machine Learning for Professionals

Posted on July 25, 2017 at 1:36pm 0 Comments

Summary:  There are a variety of new Automated Machine Learning (AML) platforms emerging that led us recently to ask if we’d be automated and unemployed any time soon.  In this article we’ll cover the “Professional AML tools”.  They require that you be fluent in R or Python which means that Citizen Data Scientists won’t be using them.  They also significantly enhance productivity and reduce the redundant and tedious work that’s part of model…

Continue

Data Scientists Automated and Unemployed by 2025 - Update!

Posted on July 17, 2017 at 4:30pm 5 Comments

Summary:  A year ago we wrote about the emergence of fully automated predictive analytic platforms including some with true One-Click Data-In Model-Out capability.  We revisited the five contenders from last year with one new addition and found the automation movement continues to move forward.  We also observed some players from last year have now gone in different directions.  …

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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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