ºÝºÝߣshows by User: AltonAlexander / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: AltonAlexander / Wed, 21 Feb 2018 21:41:01 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: AltonAlexander Marketing and Analytics Case Study /slideshow/marketing-and-analytics-case-study/88545743 casestudy-180221214101
In this presentation we prove the effectiveness of transformative analytics and done-for-you marketing. And we show you how you can achieve similar results]]>

In this presentation we prove the effectiveness of transformative analytics and done-for-you marketing. And we show you how you can achieve similar results]]>
Wed, 21 Feb 2018 21:41:01 GMT /slideshow/marketing-and-analytics-case-study/88545743 AltonAlexander@slideshare.net(AltonAlexander) Marketing and Analytics Case Study AltonAlexander In this presentation we prove the effectiveness of transformative analytics and done-for-you marketing. And we show you how you can achieve similar results <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/casestudy-180221214101-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> In this presentation we prove the effectiveness of transformative analytics and done-for-you marketing. And we show you how you can achieve similar results
Marketing and Analytics Case Study from Alton Alexander
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A Primer for Your Next Data Science Proof of Concept on the Cloud /slideshow/a-primer-for-your-next-data-science-proof-of-concept-on-the-cloud/61066483 pocpresentation-160418231712
Learn how to quickly create a highly scalable solution using AWS. We introduce the benefits and challenges you may face. We discuss scope and establish realistic expectations, budgets, and constraints for these type of projects. Finally we end with a demo for website event tracking and analysis.]]>

Learn how to quickly create a highly scalable solution using AWS. We introduce the benefits and challenges you may face. We discuss scope and establish realistic expectations, budgets, and constraints for these type of projects. Finally we end with a demo for website event tracking and analysis.]]>
Mon, 18 Apr 2016 23:17:11 GMT /slideshow/a-primer-for-your-next-data-science-proof-of-concept-on-the-cloud/61066483 AltonAlexander@slideshare.net(AltonAlexander) A Primer for Your Next Data Science Proof of Concept on the Cloud AltonAlexander Learn how to quickly create a highly scalable solution using AWS. We introduce the benefits and challenges you may face. We discuss scope and establish realistic expectations, budgets, and constraints for these type of projects. Finally we end with a demo for website event tracking and analysis. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pocpresentation-160418231712-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Learn how to quickly create a highly scalable solution using AWS. We introduce the benefits and challenges you may face. We discuss scope and establish realistic expectations, budgets, and constraints for these type of projects. Finally we end with a demo for website event tracking and analysis.
A Primer for Your Next Data Science Proof of Concept on the Cloud from Alton Alexander
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Pragmatic steps to implement big data analytics /slideshow/pragmatic-steps-to-implement-big-data-analytics/47155211 pragmaticstepstoimplementbigdataanalytics-150418232058-conversion-gate01
How to approach and deliver on a big data or analytics project. Do you have a tough problem that begs a tough solution? We discuss why and how to complete the project without rockstars, ninjas, or unicorns. A few case studies will be presented for discussion. Attendee participation is encouraged as we discuss different vendor capabilities and technologies.]]>

How to approach and deliver on a big data or analytics project. Do you have a tough problem that begs a tough solution? We discuss why and how to complete the project without rockstars, ninjas, or unicorns. A few case studies will be presented for discussion. Attendee participation is encouraged as we discuss different vendor capabilities and technologies.]]>
Sat, 18 Apr 2015 23:20:58 GMT /slideshow/pragmatic-steps-to-implement-big-data-analytics/47155211 AltonAlexander@slideshare.net(AltonAlexander) Pragmatic steps to implement big data analytics AltonAlexander How to approach and deliver on a big data or analytics project. Do you have a tough problem that begs a tough solution? We discuss why and how to complete the project without rockstars, ninjas, or unicorns. A few case studies will be presented for discussion. Attendee participation is encouraged as we discuss different vendor capabilities and technologies. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pragmaticstepstoimplementbigdataanalytics-150418232058-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> How to approach and deliver on a big data or analytics project. Do you have a tough problem that begs a tough solution? We discuss why and how to complete the project without rockstars, ninjas, or unicorns. A few case studies will be presented for discussion. Attendee participation is encouraged as we discuss different vendor capabilities and technologies.
Pragmatic steps to implement big data analytics from Alton Alexander
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SparkR - Scalable machine learning - Utah R Users Group - U of U - June 17th /slideshow/scalable-machine-learning-utah-r-users-group-u-of-u-june-17th/35977171 scalablemachinelearning-140617114236-phpapp02
An overview of Spark, SparkR, and scalable machine learning. A talk and discussion given to the Utah R users group at the University of Utah.]]>

An overview of Spark, SparkR, and scalable machine learning. A talk and discussion given to the Utah R users group at the University of Utah.]]>
Tue, 17 Jun 2014 11:42:36 GMT /slideshow/scalable-machine-learning-utah-r-users-group-u-of-u-june-17th/35977171 AltonAlexander@slideshare.net(AltonAlexander) SparkR - Scalable machine learning - Utah R Users Group - U of U - June 17th AltonAlexander An overview of Spark, SparkR, and scalable machine learning. A talk and discussion given to the Utah R users group at the University of Utah. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/scalablemachinelearning-140617114236-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> An overview of Spark, SparkR, and scalable machine learning. A talk and discussion given to the Utah R users group at the University of Utah.
SparkR - Scalable machine learning - Utah R Users Group - U of U - June 17th from Alton Alexander
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https://cdn.slidesharecdn.com/profile-photo-AltonAlexander-48x48.jpg?cb=1523521058 Alton is a data enthusiast, entrepreneur, data scientist, and leader. He is formally trained in advanced analytics with a master’s degree from the University of Utah in scientific computing. Recently, he led the winning team in a local big data competition with a brand awareness and competitive landscape insights aggregator for the publicly traded company Skullcandy. If asked, his favorite technology stack includes HDFS, Spark, R, and H20. Alton is a husband and loves dancing with his daughters. A Salt Lake City transplant from Olympia Washington. He is optimistic, a learner, and a results driven individual. More about Alton: - Enjoys entrepreneurial innovation. - Intrigued by quanti... http://www.frontquant.com/ https://cdn.slidesharecdn.com/ss_thumbnails/casestudy-180221214101-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/marketing-and-analytics-case-study/88545743 Marketing and Analytic... https://cdn.slidesharecdn.com/ss_thumbnails/pocpresentation-160418231712-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/a-primer-for-your-next-data-science-proof-of-concept-on-the-cloud/61066483 A Primer for Your Next... https://cdn.slidesharecdn.com/ss_thumbnails/pragmaticstepstoimplementbigdataanalytics-150418232058-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/pragmatic-steps-to-implement-big-data-analytics/47155211 Pragmatic steps to imp...