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  1. Amara Felix

    https://qubeshub.org/community/members/29074

  2. Machine Learning Meets Medicine with Jenessa Peterson

    20 May 2022 | Teaching Materials | Contributor(s):

    By Janessa Peterson1, Megan Seifert2

    1. The Learning Agency 2. Headwaters Science Institute

    Jenessa Peterson is a former teacher turned data scientist/engineer and Director of Learning Engineering at The Learning Agency. Her more recent work in data science has included building a...

    https://qubeshub.org/publications/3169/?v=1

  3. Eric S Ho

    https://qubeshub.org/community/members/23456

  4. 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

  5. Richard Cornford

    https://qubeshub.org/community/members/16398

  6. Albert Y. Kim

    https://qubeshub.org/community/members/16323

  7. 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

    https://qubeshub.org/publications/1252/?v=1

  8. Smithsonian Data Science Lab postdoctoral fellowships

    Collections | 02 Apr 2019 | Posted by Rebecca Dikow

    https://qubeshub.org/community/groups/edsin/collections/opportunities-in-the-field

  9. Women in Machine Learning and Data Science

    Collections | 08 Feb 2019 | Posted by Alycia Crall

    https://qubeshub.org/community/groups/edsin/collections/organizations-and-initiatives

  10. Brian Staroselsky

    https://qubeshub.org/community/members/10263

  11. DataCamp

    05 Nov 2018 | Teaching Materials

    DataCamp: The Easiest Way to Learn Data Science Online

    https://qubeshub.org/publications/913/?v=1

  12. Kalai Ramea

    https://qubeshub.org/community/members/9682

  13. 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

  14. 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

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

    Collections | 23 Oct 2018 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/dsube/collections/machine-learning

  16. Sergei Dumnov

    https://qubeshub.org/community/members/8346

  17. 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

  18. Keith John Wojciechowski

    https://qubeshub.org/community/members/8081

  19. Jason E Miller

    https://qubeshub.org/community/members/7720

  20. 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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