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MIT OpenCourseWare: Free Courses from the institute
MIT OpenCourseWare: Free Courses from the institute episodes
- 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 - Classes 18-21 Video: Brief Synopsis of Guest Sessions on Music Cognition
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
The instructor presents a brief synopsis of topics covered by guest speakers in the past few class sessions.
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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13 min - 21. Automating Clinical Work Flows
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 discusses ways of improving medical care and narrowing performance distribution through decision support from local data and change-point detection to monitor rule firings. The Clinical Pathways COWpath study is used as an example.
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 12b: Chorales as a Corpus
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 shows how Bach’s chorales can be used as a corpus within music21.
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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7 min - 19. Disease Progression Modeling and Subtyping, 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
Prof. Sontag begins with a recap of the goal of disease progression modeling and then discusses staging from cross-sectional data and simultaneous staging and subtyping.
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 20 min
About MIT OpenCourseWare: Free Courses from the institute
From the publisher's feed
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…
OCW website, each course includes a syllabus, instructional material like notes and reading lists, and learning activities like assignments and solutions. Some courses also have videos, online textbooks, and faculty insights on teaching.Knowledge is your reward. There's no signup or enrollment, and no start or end dates. OCW is self-paced learning at its best. Whether you’re a student, a teacher, or simply a curious person that wants to learn, MIT OpenCourseWare (OCW) offers a wealth of insight, inspiration, videos, and a whole lot more! Get the full picture on the OCW website at https://ocw.mit.edu.Accessibility: https://accessibility.mit.edu/ User comments policy: https://ocw.mit.edu/comments/(Channel banner photo by Nietnagel on Flickr: https://flic.kr/p/8WXxfK.)Links:MIT OpenCourseWare: https://ocw.mit.eduFacebook: https://facebook.com/mitocwTwitter: https://twitter.com/mitocwInstagram: https://www.instagram.com/mitocwDonate to OCW: https://giving.mit.edu/give/to/ocw/?utm_source=ocw&utm_medium=youtube&utm_campaign=donateBlog: https://www.ocw-openmatters.org/