Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Explainable Machine Learning, Model Transparency, and the Right to Explanation
 Check out this topical video from Predictive Analytics World...
Guidebook to the Future of Data Science: How to Navigate the Increasingly Symbiotic Dynamic Between Executives and Universities
 Book Review of Closing the Analytics Talent Gap: An...
Guilty or Not Guilty: Weight of Evidence
 You have been invited to serve as a juror...
How Machine Learning Works for Social Good
  Originally published in KDnuggets, Nov 2020. This article...
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Dean Abbott, President,
Abbott Analytics

 

Dean Abbott is President of Abbott Analytics in San Diego, California. Mr. Abbott is an internationally recognized data mining and predictive analytics expert with over two decades experience applying advanced data mining algorithms, data preparation techniques, and data visualization methods to real-world problems, including fraud detection, risk modeling, text mining, personality assessment, response modeling, survey analysis, planned giving, and predictive toxicology. Mr. Abbott is also Chief Scientist of SmarterRemarketer, a startup company focusing on behaviorally- and data-driven marketing attribution and web analytics.

Mr. Abbott is a highly-regarded and popular speaker at Predictive Analytics and Data Mining conferences. He has served on the program committee for the KDD Industrial Track and Data Mining Case Studies workshop and is on the Advisory Boards for the UC/Irvine Predictive Analytics Certificate and the UCSD Data Mining Certificate programs. Mr. Abbott has taught applied data mining and text mining courses using IBM SPSS Modeler, SAS Enterprise Miner, Statsoft Statistica, Tibco Spotfire Miner, IBM Affinium Model, Megaputer Polyanalyst, Salford Systems CART, KNIME, and RapidMiner.

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