Course Hive
Search

Welcome

Sign in or create your account

Continue with Google
or
Making Deep Learning Human with Prof. Gilbert Strang (S1:E3)
Play lesson

Chalk Radio Podcast - Making Deep Learning Human with Prof. Gilbert Strang (S1:E3)

4.0 (1)
7 learners

What you'll learn

This course includes

  • 22.3 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

Keywords

Full Transcript

MIT Chalk Radio, Season 1 Speakers: Gilbert Strang, Sarah Hansen Subscribe here → https://chalk-radio.simplecast.com/ YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63YwKIMA9K08FFvdeBEl6Lo *Description* In this episode, we talk with Professor Gilbert Strang about humanizing the teaching and learning process in his courses about linear algebra and matrix methods in data analysis, signal processing, and machine learning. *Episode Notes* Mathematics Professor Gilbert Strang is one of MIT’s most revered instructors; his courses, especially the perennially popular linear algebra course 18.06, have received millions of visits on OpenCourseWare, and his lecture videos have won him a devoted following on YouTube as well. (A sample YouTube comment on one of his lectures: “This is not lecture, this is art.”) A few years ago, Professor Strang began teaching a new course (18.065) focusing on the application of mathematical matrices to deep learning and AI. This new course is very unlike a typical undergraduate math course. For one thing, there’s no final exam—in fact, there are no exams at all! Instead, Professor Strang asks each student to spend the semester developing a project that applies the techniques they’re studying to some topic or problem they personally find interesting. In this episode, we hear from Professor Strang about his efforts to humanize math teaching, the value of thinking through problems in real time during lectures—even if it means getting stuck and having to backtrack!—and the importance of staying continually conscious of your students. Relevant Resources: MIT OpenCourseWare http://ocw.mit.edu/ The OCW Educator Portal http://ocw.mit.edu/educator 18.065 on OCW https://ocw.mit.edu/courses/mathematics/18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018/ 18.06 on OCW https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/ 18.06 Scholar Course on OCW https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/ Professor Strang’s faculty page https://math.mit.edu/directory/profile.php?pid=266 Profile of Professor Strang https://ocw.mit.edu/faculty/gilbert-strang/ Music in this episode by Blue Dot Sessions https://www.sessions.blue Connect with Us If you have a suggestion for a new episode or have used OCW to change your life or those of others, tell us your story. We’d love to hear from you! On our site https://ocw.mit.edu/about/contactus/ On Facebook https://www.facebook.com/MITOCW/ On Twitter https://twitter.com/MITOCW?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor On Instagram https://www.instagram.com/mitocw/?hl=en Stay Current Subscribe to the free monthly "MIT OpenCourseWare Update" e-newsletter. https://ocw.mit.edu/subscribe/index.htm?utm_source=header License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu

Course Hive

Continue this lesson in the app

Install CourseHive on Android or iOS to keep learning while you move.

Related Courses

FAQs

Course Hive
Download CourseHive
Keep learning anywhere