MIT OpenCourseWare: Free Courses from the institute

MIT OpenCourseWare: Free Courses from the institute

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MIT OpenCourseWare: Free Courses from the institute episodes

  • Video 10a: Review: Equivalence Classes and OPTIC

    MIT 21M.383 Computational Music Theory and Analysis Spring 2023
    Instructor: Michael Scott Asato Cuthbert
    View the complete course: https://ocw.mit.edu/courses/21m-383-computational-music-theory-and-analysis-spring-2023/
    YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62vSB2sI0W8lQFKsmS2-A6R

    Uploaded 15-10-25

    This video explores how to compare musical structures and how to measure equivalence.

    License: Creative Commons BY-NC-SA
    More information at https://ocw.mit.edu/terms
    More courses at https://ocw.mit.edu
    Support OCW at http://ow.ly/a1If50zVRl

    We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed.
    More details at https://ocw.mit.edu/comments.



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    19 min
  • 18. Disease Progression Modeling and Subtyping, Part 1

    MIT 6.S897 Machine Learning for Healthcare, Spring 2019
    Instructor: David Sontag
    View the complete course: https://ocw.mit.edu/6-S897S19
    YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j

    Uploaded 22-10-20

    Prof. Sontag discusses aspects of disease progression modeling, including staging, subtyping, and multi-task and unsupervised learning. The goals are to determine the patient’s place in the disease trajectory and how treatment may affect progression.

    License: Creative Commons BY-NC-SA
    More information at https://ocw.mit.edu/terms
    More courses at https://ocw.mit.edu



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    1 hr 28 min
  • Video 4a: How to Read an Academic Article

    MIT 21M.383 Computational Music Theory and Analysis Spring 2023
    Instructor: Michael Scott Asato Cuthbert
    View the complete course: https://ocw.mit.edu/courses/21m-383-computational-music-theory-and-analysis-spring-2023/
    YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62vSB2sI0W8lQFKsmS2-A6R

    Uploaded 15-10-25

    Prof. Cuthbert shares strategies for reading an academic article.

    License: Creative Commons BY-NC-SA
    More information at https://ocw.mit.edu/terms
    More courses at https://ocw.mit.edu
    Support OCW at http://ow.ly/a1If50zVRl

    We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed.
    More details at https://ocw.mit.edu/comments.



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    10 min
  • 17. Reinforcement Learning, Part 2

    MIT 6.S897 Machine Learning for Healthcare, Spring 2019
    Instructor: David Sontag, Barbra Dickerman
    View the complete course: https://ocw.mit.edu/6-S897S19
    YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j

    Uploaded 22-10-20

    In the first half, Prof. Sontag discusses how to evaluate different policies in causal inference and how it is related to reinforcement learning. In the second half, Dr. Barbra Dickerman talks about evaluating dynamic treatment strategies.

    License: Creative Commons BY-NC-SA
    More information at https://ocw.mit.edu/terms
    More courses at https://ocw.mit.edu



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    1 hr 2 min
  • Video 1a: music21 Coding Tutorial for OCW Learners

    MIT 21M.383 Computational Music Theory and Analysis Spring 2023
    Instructor: Michael Scott Asato Cuthbert
    View the complete course: https://ocw.mit.edu/courses/21m-383-computational-music-theory-and-analysis-spring-2023/
    YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62vSB2sI0W8lQFKsmS2-A6R

    Uploaded 15-10-25

    Prof. Cuthbert provides a coding tutorial covering the material taught at the end of Class 1.

    License: Creative Commons BY-NC-SA
    More information at https://ocw.mit.edu/terms
    More courses at https://ocw.mit.edu
    Support OCW at http://ow.ly/a1If50zVRl

    We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed.
    More details at https://ocw.mit.edu/comments.



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    15 min
  • 15. Causal Inference, Part 2

    MIT 6.S897 Machine Learning for Healthcare, Spring 2019
    Instructor: David Sontag
    View the complete course: https://ocw.mit.edu/6-S897S19
    YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j

    Uploaded 22-10-20

    This is the 2020 version of the lecture delivered via Zoom, due to technical difficulties in the original lecture 15 video. Prof. Sontag discusses a causal inference setting from a causal graphs perspective.

    License: Creative Commons BY-NC-SA
    More information at https://ocw.mit.edu/terms
    More courses at https://ocw.mit.edu



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    1 hr 10 min
  • Class 30 Video: Mathematical and Statistical Musicology

    MIT 21M.383 Computational Music Theory and Analysis Spring 2023
    Instructor: Michael Scott Asato Cuthbert
    View the complete course: https://ocw.mit.edu/courses/21m-383-computational-music-theory-and-analysis-spring-2023/
    YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62vSB2sI0W8lQFKsmS2-A6R

    Uploaded 15-10-25

    Prof. Cuthbert discusses medieval manuscripts, identifying fragments, how to use statistics and computation in exploring these kinds of research areas, and then introduces music visualization with a work by Arvo Pärt.

    License: Creative Commons BY-NC-SA
    More information at https://ocw.mit.edu/terms
    More courses at https://ocw.mit.edu
    Support OCW at http://ow.ly/a1If50zVRl

    We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed.
    More details at https://ocw.mit.edu/comments.



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    1 hr 10 min
  • 3. Deep Dive Into Clinical Data

    MIT 6.S897 Machine Learning for Healthcare, Spring 2019
    Instructor: Peter Szolovits
    View the complete course: https://ocw.mit.edu/6-S897S19
    YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j

    Uploaded 22-10-20

    Prof. Szolovits gives a deep dive into clinical data, the types of data, and how the data can be standardized. MIMIC-III data is used to illustrate these points. He discusses the difficulties of medicine harmonization and interoperability.

    License: Creative Commons BY-NC-SA
    More information at https://ocw.mit.edu/terms
    More courses at https://ocw.mit.edu



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    1 hr 31 min
  • Class 14 Video: Corpus Studies and Statistics (II)

    MIT 21M.383 Computational Music Theory and Analysis Spring 2023
    Instructor: Michael Scott Asato Cuthbert
    View the complete course: https://ocw.mit.edu/courses/21m-383-computational-music-theory-and-analysis-spring-2023/
    YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62vSB2sI0W8lQFKsmS2-A6R

    Uploaded 15-10-25

    This session covers questions about Problem Set 4, an in-class analysis of Bach and Haydn's works, close vs. distant listening, Problem Set 5 guidelines, and additional music21 tools.

    License: Creative Commons BY-NC-SA
    More information at https://ocw.mit.edu/terms
    More courses at https://ocw.mit.edu
    Support OCW at http://ow.ly/a1If50zVRl

    We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed.
    More details at https://ocw.mit.edu/comments.



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    55 min
  • 13. Machine Learning for Mammography

    MIT 6.S897 Machine Learning for Healthcare, Spring 2019
    Instructor: Adam Yala
    View the complete course: https://ocw.mit.edu/6-S897S19
    YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j

    Uploaded 22-10-20

    Dr. Yala discusses deep learning models for mammogram interpretation and triaging. While many aspects of cancer detection based on mammograms are similar to those of natural image classification (ImageNet), there are some key differences.

    License: Creative Commons BY-NC-SA
    More information at https://ocw.mit.edu/terms
    More courses at https://ocw.mit.edu



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    47 min

About MIT OpenCourseWare: Free Courses from the institute

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A free and open online publication of educational material from thousands of MIT courses, covering the entire MIT curriculum, ranging from introductory to the most advanced graduate courses. On the…