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 6a: Music Representation (III): Unlocking Pitch 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

    This video describes how to unlock your first module in music21: pitch. All functions of the pitch.Pitch object will be unlocked except those with “transpose” in their name.

    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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    22 min
  • Solar Lighting Example, 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 a case study in which a government/NGO may want to incorporate machine learning and discusses pros and cons of implementing ML-based solutions. It will highlight important interactions between the ML-implementer and an organization.

    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
  • Class 27 Video: Feature Extraction and Machine Learning

    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 class goes over questions on the problem set, aspects of the final project, and introduces Feature Extraction with applications to artificial intelligence and 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/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 17 min
  • Pulmonary Health Case Study: Bias Exploration, 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 a case study on pulmonary health diagnostics and explores the influence of representative data on accuracy.

    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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    8 min
  • Video 4b: Music Representation in General

    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 presents a closer look at music representation with examples of various scores.

    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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    12 min
  • Fall 2020 Update from Dean Krishna Rajagopal to the OCW community

    In his latest video message to OCW learners, MIT Dean for Digital Learning Krishna Rajagopal shares the latest updates as we prepare to mark 20 years of OpenCourseWare in 2021, reflects on what OCW and open educational resources mean to today’s world, and previews our work on the NextGen OCW platform.

    Uploaded 20-10-20

    What does 20 years of OpenCourseWare mean to you? Share your perspective: https://docs.google.com/forms/d/e/1FAIpQLScHHljpwu-kX6Nbis1VA9NvfWrjEedHTwhMaGPzRHDZQ-yxCw/viewform
    Read OCW Director Curt Newton’s thoughts on the role of open knowledge: https://www.ocw-openmatters.org/2020/10/08/open-knowledge-provides-clarity-of-purpose-for-education-in-crisis/

    Relevant OCW courses and resources for further learning:
    COVID-19, SARS-CoV-2 and the Pandemic: https://ocw.mit.edu/courses/biology/7-00-covid-19-sars-cov-2-and-the-pandemic-fall-2020
    Introduction to Computational Thinking with Julia, with Applications to Modeling the COVID-19 Pandemic: https://ocw.mit.edu/courses/mathematics/18-s190-introduction-to-computational-thinking-with-julia-with-applications-to-modeling-the-covid-19-pandemic-spring-2020/
    Resources for self-education on race relations in America: https://www.ocw-openmatters.org/2020/06/10/resources-for-self-education-on-race-relations-in-america/
    Topics in race: https://ocw.mit.edu/search/ocwsearch.htm?q=race
    Instructor Insights: Facilitating Talk about Race and Ethnicity: https://ocw.mit.edu/courses/political-science/17-269-race-ethnicity-and-american-politics-spring-2017/instructor-insights/facilitating-talk-about-race-and-ethnicity/ (from course 17.269: Race, Ethnicity, and American Politics)
    MIT Climate Portal: https://climate.mit.edu/users/mit-ocw
    MIT Climate Primer: https://climateprimer.mit.edu
    Energy courses: https://ocw.mit.edu/courses/energy-courses/
    Environment courses: https://ocw.mit.edu/courses/environment-courses/
    Explore additional courses from OCW: https://ocw.mit.edu/



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    8 min
  • Video 7d: Partwise vs. Timewise Polyphonic Representations

    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 slightly deeper dive into musical representation in general, but Classical Western Music Notation (CWMN) in particular, with a look at the two major ways of representing polyphonic music: Partwise or Timewise.

    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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    11 min
  • 2. Overview of Clinical Care

    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 an overview of clinical care from the past to the present. The main topics covered are the goals of medicine, the tasks of medicing, public health, and paying for health care.

    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 12a: Painting Emotions in Music and Text

    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 presents his paper with Sophia Sun which analyzes emotion painting in text and music within a corpus.

    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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    26 min
  • 7. Natural Language Processing (NLP), Part 1

    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

    This lecture and the next covers the role of Natural Language Processing in machine learning in healthcare. In this lecture, Prof. Szolovits covers methods which are not based on neural networks representations.

    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 23 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…