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MIT OpenCourseWare: Free Courses from the institute
MIT OpenCourseWare: Free Courses from the institute episodes
- Class 15 Video: Encoding Corpora and Voice Leading
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 recaps equivalence classes, covers questions on Problem Set 4, discusses online and encoding corpora, includes a brief Q and A with Michael Good, voice-leading, and introduces Problem Set 6.
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 - Protected Attributes and 'Fairness through Unawareness,' Exploring Fairness in Machine Learning
MIT RES.EC-001 Exploring Fairness in Machine Learning, Spring 2020
Instructor: Mike Teodorescu
View the complete course: https://ocw.mit.edu/RES-EC-001S20
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63IFQn8FklBOUhYVcmaxpOX
Uploaded 01-10-20
This video presents some examples of disparate treatment and disparate impact in the media. It will introduce protected attributes, cover examples of laws that govern protected attributes, and introduce the concept of fairness through unawareness.
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/a1If50zVRlQ
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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9 min - Video 6b: Representations of Ontologies: Craig Sapp’s Rosetta Stone
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
Representations of music are all different but similar. Craig Sapp’s “Rosetta Stone” helps to move between these representations.
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 - Exploring Fairness in Machine Learning: Background
MIT RES.EC-001 Exploring Fairness in Machine Learning, Spring 2020
Instructor: Amit Gandhi
View the complete course: https://ocw.mit.edu/RES-EC-001S20
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63IFQn8FklBOUhYVcmaxpOX
Uploaded 01-10-20
This video presents the motivation and outline for the course. It will highlight the importance of ethics and fairness in machine learning.
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/a1If50zVRlQ
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 - Video 22b: Problem Sets 7-8: Working and Composing with Scales, Chords, and Roman Numerals
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
Video introduction to question 4 of combined problem sets 7-8.
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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6 min - Case Studies with Data: Mitigating Gender Bias on the UCI Adult Dataset
MIT RES.EC-001 Exploring Fairness in Machine Learning, Spring 2020
Instructor: Audace Nakeshimana
View the complete course: https://ocw.mit.edu/RES-EC-001S20
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63IFQn8FklBOUhYVcmaxpOX
Uploaded 01-10-20
This video explores principles involved in building less-biased machine learning modules and data-based and model-based techniques for mitigating bias. These are then applied to the UCI adult dataset.
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/a1If50zVRlQ
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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26 min - Video 7a: Unlocking Duration and Note Objects in music21
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
A short tutorial that unlocks music21 Duration, Note Modules, and Objects.
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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18 min - USAID Appropriate Use Framework, Exploring Fairness in Machine Learning
MIT RES.EC-001 Exploring Fairness in Machine Learning, Spring 2020
Instructor: Amit Gandhi
View the complete course: https://ocw.mit.edu/RES-EC-001S20
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63IFQn8FklBOUhYVcmaxpOX
Uploaded 01-10-20
This video presents the appropriate use framework developed by USAID. It defines the concepts of relevance, representativeness, value, explainability, auditability, fairness, and accountability/responsibility.
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/a1If50zVRlQ
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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12 min - Video 12d: How to Work with Ties in music21
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
How to get started with ties 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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8 min - Fairness Criteria, Exploring Fairness in Machine Learning
MIT RES.EC-001 Exploring Fairness in Machine Learning, Spring 2020
Instructor: Mike Teodorescu
View the complete course: https://ocw.mit.edu/RES-EC-001S20
YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63IFQn8FklBOUhYVcmaxpOX
Uploaded 01-10-20
This video presents the confusion matrix, including true negatives, true positives, false negatives, and false positives. It discusses how to choose between different fairness criteria such as demographic parity, equalized odds, and equalized opportunity.
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/a1If50zVRlQ
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
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/