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Author page for John Foreman, Chief Data Scientist at MailChimp email marketing.

http://www.john-foreman.com/

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Home - John’s Business Blog | john-foreman.com Reviews

https://john-foreman.com

Author page for John Foreman, Chief Data Scientist at MailChimp email marketing.

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1

John Foreman Data Scientist - John Foreman

http://www.john-foreman.com/data-smart-book.html

Bringing data science to the people. Data science gets thrown around in the press like it’s magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. Seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. MailChimp's Chief Scientist, John Foreman, will show you how that’s done within the hype-free, comfortable environment of a spreadsheet. What folks are Tweeting about this book.

2

Speaking & Events - John Foreman

http://www.john-foreman.com/speaking--events.html

John is a frequent speaker on the topics of Big Data, analytics and marketing. If you're interested in having John speak at your company or event, please drop a line. You can follow him on Twitter at. And watch some of his archived talks here. He also talks about Disney World, privacy and lack thereof on this podcast. From GigaOm. All talks listed below open to the general public unless otherwise noted. Atlanta CDO Executive Summit. Booj Big Data Conference (Denver, Colorado). Santa Clara, CA).

3

Featured Talks - John Foreman

http://www.john-foreman.com/featured-talks.html

Featured videos: Click on the slideshow image to view related video. Create a free website. Create your own free website. Start your own free website. A surprisingly easy drag and drop site creator. Learn more.

4

John Foreman - Blog

http://www.john-foreman.com/blog.html

Data is an Asset. Last week, I read the article "Data is not an asset, it's a liability.". Flip over and read it. It's short. Naturally, there are things in the post I don't agree with. Data writes my paychecks. And then I cash those checks. And spend that cash. My expenditures are paired with ad impression data to create a formula that feeds little baby data scientists. It's a circle of data. And it moves us all. I'm going to jump around in Karpinnen's post, responding to the points I care about. Analys...

5

Data Privacy, Machine Learning, and the Destruction of Mysterious Humanity - John Foreman

http://www.john-foreman.com/blog/data-privacy-machine-learning-and-the-destruction-of-mysterious-humanity

Data Privacy, Machine Learning, and the Destruction of Mysterious Humanity. Recently, I wrote an article. About Disney’s new RFID location and transaction tracking technology, the MagicBand. Perhaps more magical for Walt than it is for you, the band allows Disney to track their customers’ actions inside their parks (and possibly outside). Where you walk, what you eat, when you stop to borderline-abusively yell at your kids. All that magic gets tracked. Big data in action. Well, weeks after my trip to Dis...

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Data Smart, Ch2, Customer Segmentation With R Using K-Medians Clustering – Working Analytics

http://workinganalytics.com/data-smart-ch2-customer-segmentation-with-r-using-k-medians-clustering-2

Building analytics experience and skills. Data Smart, Ch2, Customer Segmentation With R Using K-Medians Clustering. 1 May 2015, 10:50 am. This is a walk-through of a customer segmentation process using R’s skmeans. Package to perform k-medians clustering. The dataset examined is that used in chapter 2 of John Foreman. 8216;s book, Data Smart. This walk-through includes R function calls to calculate silhouette. Values as measures of segmentation effectiveness. A note on the silhouette. An excellent tool f...

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Data Smart, Ch 4, Linear Programming – Working Analytics

http://workinganalytics.com/data-smart-ch-4-linear-programming

Building analytics experience and skills. Data Smart, Ch 4, Linear Programming. 21 May 2015, 2:21 pm. In Chapter 4 of the book Data Smart. The author uses Excel’s linear programming tool, Solver, to solve an optimization problem, specifically, minimizing the raw materials cost for a commercial orange juice blend. Consistent with this series, here we use R to solve the same problem, specifically, we invoke R’s lpSolve package. The source data and Excel solutions are available at the book’s website. OptBle...

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Data Smart, Ch7, Predicting Pregnancy with Ensemble Models – this time using R’s caret package – Working Analytics

http://workinganalytics.com/data-smart-ch7-predicting-pregnancy-with-ensemble-models-this-time-using-rs-caret-package

Building analytics experience and skills. Data Smart, Ch7, Predicting Pregnancy with Ensemble Models – this time using R’s caret package. 7 May 2015, 3:45 pm. In chapter 7 of John Foreman. 8216;s book, Data Smart. He again predicts the pregnancy status of Retail Mart’s customers based on their shopping habits. This time he uses ensemble techniques, specifically bagging and boosting, to build his predictive models. Required for ROC curve. Read in the training and test data. Rm train - read.csv. ClassProbs...

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Data Smart, Ch5, Network Graphs and Community Detection – Working Analytics

http://workinganalytics.com/data-smart-ch5-network-graphs-and-modularity-maximization

Building analytics experience and skills. Data Smart, Ch5, Network Graphs and Community Detection. 1 May 2015, 10:55 am. Chapter 5 of John Foreman. 8216;s book Data Smart. Looks at data which can be arranged as a network graph of related data points. It uses a cluster analysis technique called Modularity Maximization to optimize cluster assignments for the graph data. We can implement the same process succinctly in R, making use of functions in the R igraph. The well-known open source graph analysis tool.

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Applied Mining: Edward Tufte has a day course. Better: He has an advanced course.

http://www.appliedmining.com/2014/03/edward-tufte-has-day-course-better-he.html

This blog is an experiment in open sourcing ideas and snippets. It starts life as a scratchpad for analytical ideas, challenging problems and elegant solutions. Some Java snippets, a little Python and no shortage of regexp or SQL. These are just seed ideas in notepad format so comments, suggestions and improvements are welcome. Saturday, March 29, 2014. Edward Tufte has a day course. Better: He has an advanced course. Here is the advanced course:. Http:/ www.edwardtufte.com/tufte/course advanced.

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Applied Mining: In the beginning, there was data.

http://www.appliedmining.com/2014/03/this-page-is-part-creative-blank-slate.html

This blog is an experiment in open sourcing ideas and snippets. It starts life as a scratchpad for analytical ideas, challenging problems and elegant solutions. Some Java snippets, a little Python and no shortage of regexp or SQL. These are just seed ideas in notepad format so comments, suggestions and improvements are welcome. Sunday, March 16, 2014. In the beginning, there was data. Nerd, Fort Worth native, math enthusiast. View my complete profile. UT Dallas Big Data [Education].

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Applied Mining: Presentation on SDLC for Analytics

http://www.appliedmining.com/2014/10/presentation-on-sdlc-for-analytics.html

This blog is an experiment in open sourcing ideas and snippets. It starts life as a scratchpad for analytical ideas, challenging problems and elegant solutions. Some Java snippets, a little Python and no shortage of regexp or SQL. These are just seed ideas in notepad format so comments, suggestions and improvements are welcome. Sunday, October 12, 2014. Presentation on SDLC for Analytics. Nerd, Fort Worth native, math enthusiast. View my complete profile. UT Dallas Big Data [Education].

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Applied Mining: INFORMS - Thomas Davenport spoke about Analytics

http://www.appliedmining.com/2014/03/thomas-davenport-spoke-about-analytics.html

This blog is an experiment in open sourcing ideas and snippets. It starts life as a scratchpad for analytical ideas, challenging problems and elegant solutions. Some Java snippets, a little Python and no shortage of regexp or SQL. These are just seed ideas in notepad format so comments, suggestions and improvements are welcome. Monday, March 31, 2014. INFORMS - Thomas Davenport spoke about Analytics. A great read, his canonical analysis on the subject is here:. HBR: Competing on Analytics.

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Your Daily Dose of Business Tips. Tips & Guides. Top 5 Ways to show your Employees you Care. 10 Ways To Improve Your Offices Work Environment. Do’s and Don’ts of Affiliate Marketing. Affiliate marketing an Easy Start-up? Startups And Initial Capital Outlays. The Dangers of “Do It Yourself” Legal Documents for Tech Start-Ups. Technology is complicated, I think it’s fair to say that is a statement the vast majority of people agree with. …. Overcoming Dyslexia In Business. Technology is complicated, I think...

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