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Machine Learning & Biostatistics Hackathon 2020
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Courses
Hackathons
hac_mlbs
Workshop materials
Introduction to Probability and Statistics for Eng...
Introduction to Probability and Statistics for Engineers
Click
https://stanford.edu/~shervine/teaching/cme-106/
link to open resource.
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An Introduction to Machine learning - S. Prabakaran
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Galaxy Training Material on Statistics and Machine Learning
Table of contents
Useful links and resources
Biostatistics and Machine Learning Lesson Hackathon - GitHub page
12 Decisions to run an online Hackathon
Collaborative note-taking using HackMD
Markdown cheatsheet
Workshop materials
Introduction to Machine Learning - SIB
BC2 Introduction to Machine Learning
An Introduction to Machine learning - S. Prabakaran
Introduction to Probability and Statistics for Engineers
Galaxy Training Material on Statistics and Machine Learning
Cambridge Coding Academy - GitHub page
Cambridge Bioinformatics Training - GitHub
Basic Statistics and Data Handling
ESCI Web Dances
Seeing Theory
Lesson templates
The Turing Way
The Carpentries Template
The Open Science Training Handbook
Open Science - Open Data - Open Source (P. Fernandes)
Learner's Profiles
The Carpentries Instructor Training Curriculum
Concept Maps
The Carpentries Concept Maps
ML-Hackathon-Concept-Maps (Google Slides presentation for the hackathon)
Learning Objectives and Outcomes
Teaching Tech Together handbook - objectives and outcomes
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