Top 10 algorithms in data mining
By Xindong Wu · Vipin Kumar · J. Ross Quinlan · Joydeep Ghosh · Qiang Yang · Hiroshi Motoda · Geoffrey J. McLachlan · Angus Ng · Bing Liu · Philip S. Yu ·...
Category: AI, GenAI, TrustworthyAI, Responsible AI, Big Data, Analytical Data Platforms and Data Science- Articles
A Few Useful Things to Know about Machine Learning
BY Pedro Domingos Department of Computer Science and Engineering University of Washington Seattle, WA 98195-2350, U.S.A. pedrod@cs.washington.edu ABSTRACT Machine learning algorithms can figure out how to perform important tasks by generalizing from examples. This...
Quantifying Self-Reported Adverse Drug Events on Twitter: Signal and Topic Analysis
By Vassilis Plachouras , Thomson Reuters Research & Development 1 Mark Square London, EC2A 4EG, UK Jochen L. Leidner , Thomson Reuters Research & Development 1 Mark Square London, EC2A 4EG, UK Andrew G....
Ethical by Design: Ethics Best Practices for Natural Language Processing
By Jochen L. Leidner and Vassilis Plachouras Thomson Reuters, Research & Development, 30 South Colonnade, London E14 5EP, United Kingdom. {jochen.leidner,vassilis.plachouras}@thomsonreuters.com Abstract Natural Language Processing (NLP) systems analyze and/or generate human language, typically on...
eGuide: Expert Strategies and Success
Which Data Integration Solution is Best for You? Download this eGuide with Gartner research to find out! Explore the data integration experiences of companies worldwide in Attunity’s new Expert Strategies eGuide, which includes a copy of Gartner’s...
Unlock machine learning for the new speed and scale of business
In-database machine learning with HPE Vertica Analytics Platform  HPE Vertica Business white paper. Table of contents – Machine learning: A competitive advantage – What is machine learning, and why is it important? –...
Ethics and Data; Legal Implications of Data; Data Privacy: Resources
Resources Ethics and Data Perspectives on Big Data, Ethics, and Society. May 23, 2016 / By Jacob Metcalf, Emily F. Keller Danah Boyd Council for Big Data, Ethics, and Society – In collaboration with the National Science Foundation, the Council...
Exponential expressivity in deep neural networks through transient chaos 
Exponential expressivity in deep neural networks through transient chaos  Ben Poole, Stanford University poole@cs.stanford.edu Subhaneil Lahiri, Stanford University sulahiri@stanford.edu Maithra Raghu, Google Brain and Cornell University maithrar@gmail.com Surya Ganguli. Stanford University sganguli@stanford.edu Jascha Sohl-Dickstein, Google Brain jaschasd@google.com Abstract We combine Riemannian geometry with...
Integrated Data Analysis for Early Warning of Lung Failure
Integrated Data Analysis for Early Warning of Lung Failure Winner of the Geisinger Health Collider Project: Stage 2 The Outliers: Rebecca Barter and Shamindra Shrotriya Department of Statistics, UC Berkeley June 28, 2016 Abstract...
Ten Simple Rules for Effective Statistical Practice
Ten Simple Rules for Effective Statistical Practice By Robert E. Kass, Department of Statistics, Machine Learning Department, and Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America Brian...