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50 years of Data Science
23 Feb 2016 | | Contributor(s):: David Donoho
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/912More than 50 years ago, John Tukey called for a reformation of academic statistics. In ‘The Future of Data Analysis’, he pointed to the existence of an as-yet...
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50 Years of Data Science
30 Oct 2018 | Teaching Materials | Contributor(s):
By David Donoho
Stanford University
This paper reviews some ingredients of the current “Data Science moment”, including recentcommentary about data science in the popular media, and about how/whether Data Science isreally different...
https://qubeshub.org/publications/912/?v=1
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Albert Y. Kim
https://qubeshub.org/community/members/16323
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Amara Felix
https://qubeshub.org/community/members/29074
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An Introduction to Statistical Learning: with Applications in R
10 Jul 2015 | | Contributor(s):: Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
This resource has been updated - find the current version here:https://qubeshub.org/qubesresources/publications/847From the book website:This book provides an introduction to statistical learning methods. It is aimed for upper level undergraduate students,...
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An Introduction to Statistical Learning: with Applications in R
23 Oct 2018 | Teaching Materials | Contributor(s):
By Gareth James1, Daniela Witten2, Trevor Hastie3, Robert Tibshirani3
1. University of Southern California 2. University of Washington 3. Stanford University
This book provides an introduction to statistical learning methods and is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences.
https://qubeshub.org/publications/847/?v=1
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Apryle Craig
https://qubeshub.org/community/members/45193
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Artificial Intelligence
25 Jul 2018 | Teaching Materials | Contributor(s):
By Kelly O'Donnell
Science Forward
This video explores what artificial intelligence is and features people who work on different aspects of intelligence. How do we make machines that think like humans? How can we tell when we’ve...
https://qubeshub.org/publications/721/?v=1
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Brian Staroselsky
https://qubeshub.org/community/members/10263
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CyVerse: Scalable Image Informatics
27 Jul 2020 | Teaching Materials | Contributor(s):
By Tyson Lee Swetnam1, Edwin Skidmore2, Tony Edgin2, Ramona Walls2, Eric Lyons2, Nirav Merchant2
1. University of Arizona BIO5 Institute, CyVerse 2. University of Arizona
Poster on cyberinfrastructure for the machine learning ere presented at the 2020 BIOME Institute: Cultivating Scientific Curiosity
https://qubeshub.org/publications/2006/?v=1
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DataCamp
06 Nov 2016 | | Contributor(s):: Drew LaMar
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/913The Easiest Way to Learn Data Science OnlineMaster data analysis from the comfort of your browser, at your own pace, tailored to your needs and expertise. Whether...
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DataCamp
05 Nov 2018 | Teaching Materials
DataCamp: The Easiest Way to Learn Data Science Online
https://qubeshub.org/publications/913/?v=1
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Diep Thi Hoang
https://qubeshub.org/community/members/46530
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Eric S Ho
https://qubeshub.org/community/members/23456
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Fangfei Lan
I am a 5th year CS PhD student from the Scientific Computing and Imaging Institute, University of Utah. My research interests are topological data analysis and data visualization. Outside of work,...
https://qubeshub.org/community/members/47277
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Faye Orcales
https://qubeshub.org/community/members/44486
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Faye Orcales
https://qubeshub.org/community/members/44767
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How machine learning taught us that your grade school teacher was right when he/she said "SIT STILL!"....
17 Nov 2016 |
Posted by Jeremy M Wojdak
Repost: Check out this fascinating article (from Alan Brown in Nautilus) about machine learning, and what it is teaching us about how humans learn.
Teaching Me Softly
Machine learning is...
https://qubeshub.org/news/blog/2016/11/using-poetry-to-make-machine-learning-of-human-handwriting-more-efficient
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Interesting application of machine learning to understand high MOOC dropout rates
10 Jul 2015 |
Posted by Jeremy M Wojdak
The Data Until I Die! blog had an interesting post a few weeks ago about the KDD Cup competition to understand a very large dataset regarding MOOC course completion...
https://qubeshub.org/news/blog/2015/07/interesting-application-of-machine-learning-to-understand-high-mooc-dropout-rates
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Jason E Miller
https://qubeshub.org/community/members/7720