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Data Mining and Predictive Analytics

Tips, tricks, and comments in data mining and predictive analytics, including data preprocessing, visualization, modeling, and model deployment. Hosted by Dean Abbott, Abbott Analytics, Inc. Thursday, July 24, 2014. Similarities and Differences Between Predictive Analytics and Business Intelligence. I was interviewed by Victoria Garment. 3 Ways to Test the Accuracy of Your Predictive Models. Posted on their Plotting Success blog. The similarities of BI and PA are points I’ve tried to make in talks ...

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Data Mining and Predictive Analytics | abbottanalytics.blogspot.com Reviews
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Tips, tricks, and comments in data mining and predictive analytics, including data preprocessing, visualization, modeling, and model deployment. Hosted by Dean Abbott, Abbott Analytics, Inc. Thursday, July 24, 2014. Similarities and Differences Between Predictive Analytics and Business Intelligence. I was interviewed by Victoria Garment. 3 Ways to Test the Accuracy of Your Predictive Models. Posted on their Plotting Success blog. The similarities of BI and PA are points I’ve tried to make in talks ...
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Data Mining and Predictive Analytics | abbottanalytics.blogspot.com Reviews

https://abbottanalytics.blogspot.com

Tips, tricks, and comments in data mining and predictive analytics, including data preprocessing, visualization, modeling, and model deployment. Hosted by Dean Abbott, Abbott Analytics, Inc. Thursday, July 24, 2014. Similarities and Differences Between Predictive Analytics and Business Intelligence. I was interviewed by Victoria Garment. 3 Ways to Test the Accuracy of Your Predictive Models. Posted on their Plotting Success blog. The similarities of BI and PA are points I’ve tried to make in talks ...

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Data Mining and Predictive Analytics: 01/01/2013 - 02/01/2013

http://abbottanalytics.blogspot.com/2013_01_01_archive.html

Tips, tricks, and comments in data mining and predictive analytics, including data preprocessing, visualization, modeling, and model deployment. Hosted by Dean Abbott, Abbott Analytics, Inc. Wednesday, January 16, 2013. Three Ways to Get Your Predictive Models Deployed. For me, the gold standard is deployment. If the model gets used and improves the decisions an organization makes, I've succeeded. Three ways to increase the likelihood your models are deployed are:. What data miners need to learn. The mod...

2

Data Mining and Predictive Analytics: 01/01/2014 - 02/01/2014

http://abbottanalytics.blogspot.com/2014_01_01_archive.html

Tips, tricks, and comments in data mining and predictive analytics, including data preprocessing, visualization, modeling, and model deployment. Hosted by Dean Abbott, Abbott Analytics, Inc. Thursday, January 16, 2014. Data Science and Big Data Search Trends. These are from google trends. This page for now is just an FYI that I may refer to in today's DM Radio show, "Blinded by Data Science" ( http:/ bit.ly/KfK74l. I hope to turn it into a more cogent blog post soon (but no promises! 8220;big data”.

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Data Mining and Predictive Analytics: 05/01/2014 - 06/01/2014

http://abbottanalytics.blogspot.com/2014_05_01_archive.html

Tips, tricks, and comments in data mining and predictive analytics, including data preprocessing, visualization, modeling, and model deployment. Hosted by Dean Abbott, Abbott Analytics, Inc. Monday, May 26, 2014. Why Overfitting is More Dangerous than Just Poor Accuracy, Part II. In Part I,. How sure are we that the measured 10% rate in our sample is reproducible for the next 10 values of L4G? TARGET B = 1 Percent. Confidence Interval Lower Bound. Confidence Interval Upper Bound. For the 1998 KDD Cup dat...

4

Data Mining and Predictive Analytics: 02/01/2013 - 03/01/2013

http://abbottanalytics.blogspot.com/2013_02_01_archive.html

Tips, tricks, and comments in data mining and predictive analytics, including data preprocessing, visualization, modeling, and model deployment. Hosted by Dean Abbott, Abbott Analytics, Inc. Thursday, February 14, 2013. What To Take Home from Your Next Predictive Analytics Conference. Why should one go to a predictive analytics conference? What should one take home from a conference like Predictive Analytics World. But once we observe the successful approach, what can we really take home with us? Second,...

5

Data Mining and Predictive Analytics: Why Overfitting is More Dangerous than Just Poor Accuracy, Part I

http://abbottanalytics.blogspot.com/2014/05/why-overfitting-is-more-dangerous-than.html

Tips, tricks, and comments in data mining and predictive analytics, including data preprocessing, visualization, modeling, and model deployment. Hosted by Dean Abbott, Abbott Analytics, Inc. Thursday, May 01, 2014. Why Overfitting is More Dangerous than Just Poor Accuracy, Part I. One way modelers reduce the likelihood of overfit is to apply the principle of Occam’s Razor, where if two models exhibit the same accuracy, we will prefer the simpler model because it is more likely to generalize well&#4...

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Missing Data and Causal Chains | History of an Idea: Missing Data

https://missingdata.wordpress.com/2007/09/07/missing-data-and-causal-chains

History of an Idea: Missing Data. Just another WordPress.com weblog. Judea Pearl and Causality. Ontology Matching Book →. Missing Data and Causal Chains. September 7, 2007. One of my colleagues today suggested an interesting way of looking at the problem of missing data. He referred back to a lot of work on process modeling, where people in essence try to “reverse engineer” existing business processes. More broadly, steps in a process or information that is gathered are part of some causal chain. You are...

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Judea Pearl and Causality | History of an Idea: Missing Data

https://missingdata.wordpress.com/2007/09/06/judea-pearl-and-causality

History of an Idea: Missing Data. Just another WordPress.com weblog. Comparing Upper Ontology Definitions of “Information Resource”. Missing Data and Causal Chains →. Judea Pearl and Causality. September 6, 2007. Who is one of the more influential authors on knowledge representation, causal reasoning, and AI wrote a book in 2000 titled “ Causality: Models, Reasoning, and Inference. 8220; (Dr. Pearl is also as it happens Daniel Pearl’s. On his page that describes why he wrote the book. You are commenting ...

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Will Profiles Ever Be Obsolete? – Retrieve and Herd

https://dfdietrich.wordpress.com/2015/07/23/will-profiles-ever-be-obsolete

Dean Dietrich's Reflections on Data, Development, Education, Research, and More. Will Profiles Ever Be Obsolete? July 23, 2015. August 10, 2015. This seemed like a revolutionary idea to me, one that could potentially change the focus of my work. If I could work in a manner more akin to that she had described, then I could spent less time writing profiles and more time thinking about ways to identify prospects and to keep more prospect information up to date. I was able to find more efficient ways of work...

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Data Mining in MATLAB: Principal Components Analysis

http://matlabdatamining.blogspot.com/2010/02/principal-components-analysis.html

Data Mining in MATLAB. Exploring data mining using MATLAB (and sometimes MATLAB Toolboxes). Friday, February 26, 2010. Real-world data sets usually exhibit relationships among their variables. These relationships are often linear, or at least approximately so, making them amenable to common analysis techniques. One such technique is principal component analysis. PCA"), which rotates the original data to new coordinates, making the data as "flat" as possible. Performing Principal Components Analysis.

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Dean F. Dietrich – Retrieve and Herd

https://dfdietrich.wordpress.com/author/deandietrich

Dean Dietrich's Reflections on Data, Development, Education, Research, and More. Author: Dean F. Dietrich. What’s Life Like in Nevada? Last week I was too focused on completing the final requirements for my MBA to write any new blog posts. To start things off this week, I thought I’d post a piece I wrote a year ago for my college class newsletter. The newsletter editor invited me to submit a piece telling my classmates more about my life in Nevada. First things first: it’s Nev-a-. Dye) and Genoa (Ge-Noah).

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Returning from a Conference: Six Steps for Avoiding Post-Conference Let-Down – Retrieve and Herd

https://dfdietrich.wordpress.com/2015/07/24/returning-from-a-conference-six-steps-for-avoiding-post-conference-let-down

Dean Dietrich's Reflections on Data, Development, Education, Research, and More. Returning from a Conference: Six Steps for Avoiding Post-Conference Let-Down. July 24, 2015. July 26, 2015. So what is a newly re-energized employee to do? That last sentence said a lot rather abstractly, so below, I’ve broken it down into a list of steps you might take. 8220;New Orleans Lakefront Airport”. Kevin O’Mara) licensed under CC BY-NC-ND 2.0. Or do they require more of a long-term change that will require systemati...

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NIR-Quimiometria: Importing spectra from "R" into Win ISI

http://nir-quimiometria.blogspot.com/2015/05/importing-spectra-from-r-into-win-isi.html

19 may. 2015. Importing spectra from "R" into Win ISI. I wanted to import the Gasoline spectra from the PLS package into Win ISI, so the first thing I have done was to export the Gasoline spectra to a TXT file:. Writetable(gasoline$NIR,"c:/gasoline3.txt",sep=" t"). And after that I use the tool Convert from Win ISI to convert the TXT file into a NIR file. It was not so easy, and I have to organize a little bit the TXT file. Enviar por correo electrónico. Etiquetas: Learning Win ISI. Search in this Blog.

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Data Mining and Predictive Analytics

Tips, tricks, and comments in data mining and predictive analytics, including data preprocessing, visualization, modeling, and model deployment. Hosted by Dean Abbott, Abbott Analytics, Inc. Thursday, July 24, 2014. Similarities and Differences Between Predictive Analytics and Business Intelligence. I was interviewed by Victoria Garment. 3 Ways to Test the Accuracy of Your Predictive Models. Posted on their Plotting Success blog. The similarities of BI and PA are points I’ve tried to make in talks ...

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Home Page - Abbott Analytics: Data Mining Services in San Diego

Services: Data Mining Project Assessment, Data Preparation For Data Mining, Data Mining Model Development, Data Mining Model Deployment, Data Mining Course: Overview for Project Managers, Data Mining Course: Overview for Practitioners, Customized Data Mining Engagements. Client List and Case Studies. Upcoming Data Mining Seminars A Practical Introduction to Data Mining Upcoming courses (nationwide) Data Mining Level II: A drill-down of the data mining process, techniques, and applications Data Mining Lev...