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Best description of data science – FrontQuant.com
http://www.frontquant.com/2014/07/best-description-of-data-science
A Weblog by a Quantitative Data Analysis Engineer. Find me on LinkedIn. Best description of data science. Http:/ blogs.nature.com/naturejobs/2013/03/18/so-you-want-to-be-a-data-scientist. When I asked Bruno Aziza. A data scientist is somebody who is inquisitive, who can stare at data and spot trends. It’s almost like a Renaissance individual who really wants to learn and bring change to an organization. Anjul Bhambhri, Vice President of Big Data Products, IBM. July 8, 2014. December 18, 2015.
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Lean Analytics for starting a business – FrontQuant.com
http://www.frontquant.com/2014/03/lean-analytics-for-starting-a-business
A Weblog by a Quantitative Data Analysis Engineer. Find me on LinkedIn. Lean Analytics for starting a business. Looks like a very good book and for a reasonable price! March 17, 2014. Leave a Reply Cancel reply. Your email address will not be published. Required fields are marked *. Skills of a data quant. Favorite Websites for Data Scientists. Hi, my name is Alton and I am a data scientist. Enjoy my collection of ramblings on this weblog. Best description of data science. Skills of a data quant.
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Quantitative Trading – FrontQuant.com
http://www.frontquant.com/category/quantitative-trading
A Weblog by a Quantitative Data Analysis Engineer. Find me on LinkedIn. Great article by Wired about automated trading. 8220;By the time the ordinary investor sees a quote, it’s like looking at a star that burned out 50,000 years ago”. 8211; http:/ www.wired.com/business/2012/08/ff wallstreet trading/all/. August 8, 2012. March 6, 2013. Leave a comment on Great article by Wired about automated trading. Algorithmic Trading Using R. Presentation on algorithmic trading using R:. August 8, 2012. In my curren...
southbdhub.wordpress.com
Big Data Innovation Hubs Selected for NTIS Joint Venture Partnership | Hubbub!
https://southbdhub.wordpress.com/2016/10/25/big-data-innovation-hubs-selected-for-ntis-joint-venture-partnership
News, Opportunities, and Events. Learn More and Join Us. Submit Info or Events. Big Data Innovation Hubs Selected for NTIS Joint Venture Partnership. October 25, 2016. November 2, 2016. Partnerships called a major milestone for the data economy. The four Big Data Regional Innovation Hubs have been selected by the National Technical Information Service. The Big Data Regional Innovation Hubs. Are a consortium program established by the National Science Foundation in 2015, with a collective mission to accel...
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Article Review: Coca Cola’s Orange Juice Algorithm – FrontQuant.com
http://www.frontquant.com/2013/02/orange-juice-algorith
A Weblog by a Quantitative Data Analysis Engineer. Find me on LinkedIn. Article Review: Coca Cola’s Orange Juice Algorithm. Coca Cola has been using an algorithm to increase revenue by perfecting the taste and the chain supply of one of it’s up and coming segments, 100% natural orange juice. I happen to be a huge fan of orange juice and Coca Cola’s marketing campaigns so naturally the recent article in BusinessWeek. About the Algorithm “Black Book”. How to build your own Black Book Algorithm. Technique t...
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spark – FrontQuant.com
http://www.frontquant.com/tag/spark
A Weblog by a Quantitative Data Analysis Engineer. Find me on LinkedIn. Yes Spark is the next big thing in realtime big data processing http:/ news.dice.com/2014/03/12/apache-spark-next-big-thing-big-data/? Utm content=buffered1ad&utm medium=social&utm source=twitter.com&utm campaign=buffer. March 17, 2014. March 17, 2014. Leave a comment on Apache Spark. Hi, my name is Alton and I am a data scientist. Enjoy my collection of ramblings on this weblog. Best description of data science. Find me on LinkedIn.
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Favorite Websites for Data Scientists – FrontQuant.com
http://www.frontquant.com/2014/04/favorite-websites-for-data-scientists
A Weblog by a Quantitative Data Analysis Engineer. Find me on LinkedIn. Favorite Websites for Data Scientists. Shown are the favorite websites using self reported results of all registered users on DataScienceCentral. It is interesting to note that Kdnuggets continues to be a strong leader as a data aggregator for the community even among the biased sample of DataScienceCentral members. It is also impressive to see R with such a strong pressence. The list of links based on popularity is as follows:.
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Big Data Hype Curve – FrontQuant.com
http://www.frontquant.com/2013/09/big-data-hype-curve
A Weblog by a Quantitative Data Analysis Engineer. Find me on LinkedIn. Big Data Hype Curve. Interesting to see how the hype curve is rounding out after almost a year http:/ www.forbes.com/sites/louiscolumbus/2012/08/16/roundup-of-big-data-forecasts-and-market-estimates-2012/. September 11, 2013. Leave a Reply Cancel reply. Your email address will not be published. Required fields are marked *. Page ranking drops if you don’t blog search pages. Comprehensive review of how to get data into R.
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Management – FrontQuant.com
http://www.frontquant.com/category/management
A Weblog by a Quantitative Data Analysis Engineer. Find me on LinkedIn. Lean Analytics for starting a business. Looks like a very good book and for a reasonable price! March 17, 2014. Leave a comment on Lean Analytics for starting a business. Article Review: Coca Cola’s Orange Juice Algorithm. About the Algorithm “Black Book”. Black Book, the algorithm they describe, was implemented by industry expert Bob Cross at Revenue Analytics. How to build your own Black Book Algorithm. Here I propose the steps for...
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R datasource – FrontQuant.com
http://www.frontquant.com/tag/r-datasource
A Weblog by a Quantitative Data Analysis Engineer. Find me on LinkedIn. Comprehensive review of how to get data into R. Presentation of how to get data into R http:/ jeffreybreen.wordpress.com/2012/10/02/tapping-the-data-deluge-with-r/. Including ode on github https:/ github.com/jeffreybreen/talk-201210-data-deluge/tree/master/R. March 17, 2014. Leave a comment on Comprehensive review of how to get data into R. Best description of data science. Favorite Websites for Data Scientists. Skills of a data quant.