4.7 • 13K Ratings
🗓️ 14 February 2020
⏱️ 105 minutes
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0:00.0 | The following is a conversation of Vladimir Vapnik, part two. |
0:04.8 | The second time we spoke on the podcast. |
0:07.3 | He's the Co-Inventor of Support Vector Machines, Support Vector Clustering, VC Theory, |
0:12.0 | and many foundational ideas in statistical learning. |
0:14.9 | He was born in the Soviet Union, worked at the Institute of Control Sciences in Moscow, |
0:20.2 | then in the US, worked at AT&T, and he sea labs, Facebook AI research, |
0:26.0 | and now is a professor at Columbia University. |
0:29.4 | His work has been cited over 200,000 times. |
0:33.0 | The first time we spoke on the podcast was just over a year ago, one of the early episodes. |
0:38.9 | This time, we spoke out for a lecture he gave titled Complete Statistical Theory of Learning, |
0:44.4 | as part of the MIT series of lectures on deep learning and AI that I organized. |
0:50.1 | I'll release the video of the lecture in the next few days. |
0:53.6 | This podcast and lecture are independent from each other, |
0:56.8 | so you don't need one to understand the other. |
0:59.2 | The lecture is quite technical and math-heavy, so if you do watch both, |
1:04.2 | I recommend listening to this podcast first, since the podcast is probably a bit more accessible. |
1:11.1 | This is the Artificial Intelligence Podcast. |
1:13.8 | If you enjoy it, subscribe on YouTube, give it 5 stars on Apple Podcast, |
1:17.8 | support it on Patreon, or simply connect with me on Twitter, |
1:20.9 | at Lex Friedman's spelled F-R-I-D-M-A-N. |
1:24.6 | As usual, I'll do one or two minutes of ads now, |
1:27.7 | and never any ads in the middle that can break the flow of the conversation. |
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