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MIT OpenCourseWare: Free Courses from the institute
MIT OpenCourseWare: Free Courses from the institute episodes
- Class 28 Video: Feature Extraction and Machine Learning (II)
MIT 21M.383 Computational Music Theory and Analysis Spring 2023
Uploaded 15-10-25
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
Guest speaker Kiki Gutierres presents his computational research work on Pinkfong's Baby Shark song and other corpora, then the class explores feature extraction and analyzes similarity and difference in melody examples.
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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58 min - 22. Regulation of Machine Learning / Artificial Intelligence in the US
MIT 6.S897 Machine Learning for Healthcare, Spring 2019
Instructor: Andy Coravos, Mark Shervey
View the complete course: https://ocw.mit.edu/6-S897S19
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j
Uploaded 22-10-20
Andy Coravos gives an overview of US regulatory agencies and their role in overseeing devices (SaMDs) and how to submit public comment to these agencies. Mark Shervy gives an overview of institutional review boards (IRBs) for research with human subjects.
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 29 min - Video 22c: Algorithmic Improvisation: Intro to George Lewis
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
An introduction by the instructor to algorithmic improvisation and the work of George Lewis.
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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5 min - 6. Physiological Time-Series
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 gives a recap of risk stratification and then explains physiological time-series. Two scenarios are examined: monitoring babies in neonatal ICUs and detecting atrial fibrillation.
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 9c: Interview with Michael Good on MusicXML
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
Discussion with Michael Good about the creation of MusicXML.
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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21 min - 5. Risk Stratification, 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 continues with the topic of risk stratification. He discusses the derivation of labels for data, evaluation of model performance, and the subtleties with machine learning-based risk stratification. The lecture finishes with survival modeling.
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 27 min - 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
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/