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Keep the science in data science, please

by Community Manager on ‎04-23-2015 01:27 PM - edited on ‎10-06-2015 11:48 AM by Community Manager (933 Views)

Patrick Hall.jpgThe article series on data scientists continues with Keeping the science in data science, from SAS Senior Machine Learning Scientist Patrick Hall. Many of you likely recognize Patrick from his community tips on open source integration with SAS.

In the article, Patrick asks that data scientists apply the scientific method to their work and comments on the discipline: "We'll all be better off in 20 years if data science is a vibrant and respected branch of the mathematical sciences rather than a stale marketing term.”


You can learn more about Patrick’s day-to-day in this Q&A that includes a video highlighting some of his favorite machine learning techniques. You can also catch Patrick at SAS Global Forum 2015 at the SAS® Enterprise Miner™ booth and during his sessions:

 

SAS® Does Data Science: How to Succeed in a Data Science Competition

Tuesday, April 28, 11:00 a.m. - 11:50 a.m. U.S. Central

De-Mystifying Deep Learning

Tuesday, April 28, 4:00 p.m. - 4:50 p.m. U.S. Central


In related news, DataKind founder and data scientist Jake Porway recently blogged about the abundance of opportunities for data science to improve society. I’m sure looking forward to seeing his keynote presentation at SAS Global Forum next week. If you’re not planning to attend, tune into a live streamed broadcast of his keynote on Tuesday, April 28, at 1 p.m. Central.

Comments
by SAS Employee PatrickHall
on ‎04-26-2015 11:50 AM

I'll be presenting on my approach to the Cloudera Data Science Challenge 2 at SAS Global Forum. For anyone who can't make it and who is interested in technical resources pertaining to SAS and Data Science, you can access the paper and code I will be presenting here:

Paper: http://support.sas.com/resources/papers/proceedings15/SAS2520-2015.pdf

Code: http://support.sas.com/resources/papers/proceedings15/SAS2520-2015.zip

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