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MIT OpenCourseWare: Free Courses from the institute
MIT OpenCourseWare: Free Courses from the institute episodes
- 11. Differential Diagnosis
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 explains differential diagnosis, the distinguishing of a condition from others with similar features. He covers models of diagnostic reasoning: flow charts, card selection, naive Bayes, bipartite graphs, QMR DT, and reinforcement learning.
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 - Class 8 Video: Hierarchies (II): Streams and Recursions
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
Students study the Bach chorale 66.6 and cover Streams and Recursions in 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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52 min - 16. Reinforcement Learning, Part 1
MIT 6.S897 Machine Learning for Healthcare, Spring 2019
Instructor: Fredrik D. Johansson
View the complete course: https://ocw.mit.edu/6-S897S19
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j
Uploaded 22-10-20
Dr. Johansson covers an overview of treatment policies and potential outcomes, an introduction to reinforcement learning, decision proccesses, reinforcement learning paradigms, and learning from off-policy data.
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 24 min - Video 26a: Vocabulary Reduction
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 summarizes vocabulary reduction, key analysis, and the Bach chorales as preparation for the upcoming problem set.
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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28 min - 9. Translating Technology Into the Clinic
MIT 6.S897 Machine Learning for Healthcare, Spring 2019
Instructor: Peter Szolovits, Adam Wright
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 the hype cycle as well as two examples of machine learning: Watson for Oncology and Computerized Physician Order Entry. Guest speaker Adam Wright speaks about the development of a medication related decision support system.
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 30 min - Class 5 Video: Music Representation (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 the first problem set, ontology, taxonomy, meronomy, and more on efficient music encoding.
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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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.
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59 min - 4. Risk Stratification, Part 1
MIT 6.S897 Machine Learning for Healthcare, Spring 2019
Instructor: David Sontag, Leonard D'Avolio
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 risk stratification and works through a case study of early detection of type 2 diabetes. The second portion of the class is an interview with Leonard D’Avolio, Assistant Professor at Harvard Medical School and founder of Cyft.
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 - 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
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/