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Tags: machine learning

All Categories (1-20 of 22)

  1. 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

  2. Richard Cornford

  3. Albert Y. Kim

  4. The ml4bio Workshop: Machine Learning Literacy for Biologists

    02 Jun 2019 | Teaching Materials | Contributor(s):

    By Fangzhou Mu1, Chris Magnano1, Debora Treu2, Anthony Gitter1

    1. University of Wisconsin - Madison 2. Morgridge Institute for Research

    Presentation on machine learning literacy for biologists at the 2019 Great Lakes Bioinformatics Conference

  5. Smithsonian Data Science Lab postdoctoral fellowships

    Collections | 02 Apr 2019 | Posted by Rebecca Dikow

  6. Women in Machine Learning and Data Science

    Collections | 08 Feb 2019 | Posted by Alycia Crall

  7. Brian Staroselsky

  8. DataCamp

    05 Nov 2018 | Teaching Materials

    DataCamp: The Easiest Way to Learn Data Science Online

  9. Kalai Ramea

  10. 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...

  11. 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.

  12. Road Map for Choosing Between Statistical Modeling and Machine Learning

    Collections | 23 Oct 2018 | Posted by Drew LaMar

  13. Sergei Dumnov

  14. 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...

  15. Keith John Wojciechowski

  16. Jason E Miller

  17. 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...

  18. DataCamp

    06 Nov 2016 | | Contributor(s):: Drew LaMar

    This resource has been updated - find the current version here: 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...

  19. 50 years of Data Science

    23 Feb 2016 | | Contributor(s):: David Donoho

    This resource has been updated - find the current version here: 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...

  20. 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...