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Gilbert Strang: Linear Algebra, Deep Learning, Teaching, and MIT OpenCourseWare

Gilbert Strang: Linear Algebra, Deep Learning, Teaching, and MIT OpenCourseWare

Lex Fridman Podcast
25. Nov. 2019 50 min
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<p>Gilbert Strang is a professor of mathematics at MIT and perhaps one of the most famous and impactful teachers of math in the world. His MIT OpenCourseWare lectures on linear algebra have been viewed millions of times.</p> <p><span style="font-weight: 400;">This conversation is part of the Artificial Intelligence podcast.</span>&#160;If you would like to get more information about this podcast go to <a href="https://lexfridman.com/ai">https://lexfridman.com/ai</a> or connect with @lexfridman on <a href="https://twitter.com/lexfridman">Twitter</a>, <a href="https://www.linkedin.com/in/lexfridman/">LinkedIn</a>, <a href="https://www.facebook.com/lexfridman">Facebook</a>, <a href="https://medium.com/@lexfridman">Medium</a>, or <a href="https://www.youtube.com/lexfridman">YouTube</a> where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on <a href="https://podcasts.apple.com/us/podcast/artificial-intelligence/id1434243584">Apple Podcasts</a> or support it on <a href="https://www.patreon.com/lexfridman">Patreon</a>.</p> <p>This episode is presented by Cash App. Download it, use code LexPodcast.&#160;</p> <p>And it is supported by ZipRecruiter. Try it: <a href="http://ziprecruiter.com/lexpod">http://ziprecruiter.com/lexpod</a></p> <p>Here&#8217;s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.</p> <p>00:00 &#8211; Introduction<br /> 03:45 &#8211; Math rockstar<br /> 05:10 &#8211; MIT OpenCourseWare<br /> 07:29 &#8211; Four Fundamental Subspaces of Linear Algebra<br /> 13:11 &#8211; Linear Algebra vs Calculus<br /> 15:03 &#8211; Singular value decomposition<br /> 19:47 &#8211; Why people like math<br /> 23:38 &#8211; Teaching by example<br /> 25:04 &#8211; Andrew Yang<br /> 26:46 &#8211; Society for Industrial and Applied Mathematics<br /> 29:21 &#8211; Deep learning<br /> 37:28 &#8211; Theory vs application<br /> 38:54 &#8211; Open problems in mathematics<br /> 39:00 &#8211; Linear algebra as a subfield of mathematics<br /> 41:52 &#8211; Favorite matrix<br /> 46:19 &#8211; Advice for students on their journey through math<br /> 47:37 &#8211; Looking back</p>

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