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John Alex
https://qubeshub.org/community/members/35377
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John Hafner
https://qubeshub.org/community/members/31942
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Kaiying O'Hare
I am Kaiying O'Hare. I am a postdoc in Applied Mathematics and Statistics at Johns Hopkins University. I received my PhD from the Ohio State University. I am currently working on GNN problems.
https://qubeshub.org/community/members/46714
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Kalai Ramea
https://qubeshub.org/community/members/9682
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Keith John Wojciechowski
https://qubeshub.org/community/members/8081
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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
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Marco Buongiorno Nardelli
https://qubeshub.org/community/members/46544
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Michael Igorevich Ivanitskiy
https://qubeshub.org/community/members/47149
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Nazia Riasat
I am Nazia, a fifth-year Ph.D. student in Statistics at NDSU. Currently, I am working as a Graduate Research Assistant, where I have had the privilege of collaborating with the esteemed faculty in...
https://qubeshub.org/community/members/47059
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Oluwafolake Ayano
https://qubeshub.org/community/members/38163
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Paul Samuel Padasas Ignacio
I am a 34 year-old Filipino scientist. I speak English and Filipino (Tagalog) fluently. My hobbies and recreational interests include visiting parks, taking photographs, and learning about...
https://qubeshub.org/community/members/46998
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RESOURCES: Amazing course in statistical learning available freely on interwebs!
09 Jul 2015 |
Posted by Jeremy M Wojdak
The authors of "An Introduction to Statistical Learning: with Applications in R", (Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani) have graciously made available a...
https://qubeshub.org/news/blog/2015/07/amazing-course-in-statistical-learning-available-freely-on-interwebs
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Richard Cornford
https://qubeshub.org/community/members/16398
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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
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Rolando Kindelan
I am PhD Candidate in Computer Science at University of Chile working on the intersection of Topological Data Analysis, Compact Data Structures and Machine Learning. In my spare time I like to see...
https://qubeshub.org/community/members/46741
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Sanghoon Na
I am in the 4th year of the MATH Ph.D. program at the University of Maryland, College Park. My research interests are theoretical machine learning and compression methods (data and neural networks).
https://qubeshub.org/community/members/47009
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Sergei Dumnov
https://qubeshub.org/community/members/8346
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Shashank Sule
https://qubeshub.org/community/members/46703
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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
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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