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Paul Bremner
  • San Jose, California
  • United States
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Paul Bremner's Page

Latest Activity

Paul Bremner liked William Vorhies's blog post Advanced Analytic Platforms – Changes in the Leaderboard 2020
15 hours ago
Paul Bremner liked Stefan Stoyanov's blog post Boosting your Machine Learning productivity with SAS Viya
Friday
Paul Bremner liked Stefan Stoyanov's blog post Using SAS Viya to Analyze Love at First Sight
Friday
Paul Bremner liked Bill Schmarzo's blog post Why the Concept of “Citizen Data Scientist” Terrifies Me
Jan 20
Paul Bremner liked Robert Nisbet's blog post It Is Never Too Late To Learn!
Dec 14, 2019
Paul Bremner liked William Vorhies's blog post No Matter What You Call It, It’s all the Same Thing
Dec 5, 2019
Paul Bremner liked Stephanie Glen's blog post On Being a 50 Year Old Data Scientist
Nov 30, 2019
Paul Bremner liked William Vorhies's blog post The Logjam in AI/ML Platforms is About to Complicate Your Life
Nov 27, 2019
Paul Bremner liked William Vorhies's blog post Where’s the Love – Trends in Data Science Career Opportunities
Jul 2, 2019
Paul Bremner liked William Vorhies's blog post Automated Machine Learning (AML) Comes of Age - Almost
Jun 18, 2019

Profile Information

Short Bio
Former CIA Analyst (15 years, about 2/3 working on Russian military, then following international telecom/computer industry and supporting trade negotiators), worked on Market Intelligence at IBM, AT&T, Pacific Northwest National Laboratory (Department of Energy R&D lab), Cisco. Transitioning into Marketing/Business Analytics using SAS and SQL, probably adding Python or R at some point.

[email protected]
My Web Site Or LinkedIn Profile
http://www.linkedin.com/in/paulmbremner/
Professional Status
Manager
Your Job Title:
Marketing Intelligence and Analytics Manager
Interests:
Finding a new position, Networking

Paul Bremner's Blog

Comment on "Why R is Bad for You"

Posted on May 25, 2017 at 8:30am 1 Comment

There seems to be a lot confusion about the role of programming in relation to the Data Science platforms that research firms Gartner and Forrester have identified as the future of Data Science in large corporations.  For example, numerous people have stated that SAS is pushing a drag-and-drop platform (Enterprise Miner) that somehow limits choices and is destined to fail due to the fact that using programming (that is, R) allows greater flexibility.

It’s certainly…

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