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Machine Learning & Biostatistics Hackathon 2020

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Seeing Theory

Click https://seeing-theory.brown.edu/frequentist-inference/index.html?s=09#section2 link to open resource.
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Table of contents
  • Biostatistics and Machine Learning Lesson Hackathon - GitHub pageBiostatistics and Machine Learning Lesson Hackathon - GitHub page
  • 12 Decisions to run an online Hackathon12 Decisions to run an online Hackathon
  • Collaborative note-taking using HackMDCollaborative note-taking using HackMD
  • Markdown cheatsheetMarkdown cheatsheet
  • Introduction to Machine Learning - SIBIntroduction to Machine Learning - SIB
  • BC2 Introduction to Machine LearningBC2 Introduction to Machine Learning
  • An Introduction to Machine learning - S. PrabakaranAn Introduction to Machine learning - S. Prabakaran
  • Introduction to Probability and Statistics for EngineersIntroduction to Probability and Statistics for Engineers
  • Galaxy Training Material on Statistics and Machine LearningGalaxy Training Material on Statistics and Machine Learning
  • Cambridge Coding Academy - GitHub pageCambridge Coding Academy - GitHub page
  • Cambridge Bioinformatics Training - GitHubCambridge Bioinformatics Training - GitHub
  • Basic Statistics and Data HandlingBasic Statistics and Data Handling
  • ESCI Web DancesESCI Web Dances
  • Seeing TheorySeeing Theory
  • The Turing WayThe Turing Way
  • The Carpentries TemplateThe Carpentries Template
  • The Open Science Training HandbookThe Open Science Training Handbook
  • Open Science - Open Data - Open Source (P. Fernandes)Open Science - Open Data - Open Source (P. Fernandes)
  • The Carpentries Instructor Training CurriculumThe Carpentries Instructor Training Curriculum
  • The Carpentries Concept MapsThe Carpentries Concept Maps
  • ML-Hackathon-Concept-Maps (Google Slides presentation for the hackathon)ML-Hackathon-Concept-Maps (Google Slides presentation for the hackathon)
  • Teaching Tech Together handbook - objectives and outcomesTeaching Tech Together handbook - objectives and outcomes
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