Vladimir Vapnik: Deep Learning and the Essence of Intelligence | AI Podcast Clips

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Vladimir Vapnik is the co-inventor of support vector machines, support vector clustering, VC theory, and many foundational ideas in statistical learning. He was born in the Soviet Union, worked at the Institute of Control Sciences in Moscow, then in the US, worked at AT&T, NEC Labs, Facebook AI Research, and now is a professor at Columbia University. His work has been cited over 200,000 times.

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[pkr]

If you have done ML, you most likely have used SVM at some point. Vapnik was one of the authors of the first Support Vector algorithm in the 1960s. SVM would then become one of the most used and well-known classical ML techniques for classification in the coming decades. And it still is.

[arunpatil]

This video is very helpful and knowledgeable to me