Machine Learning Cafe

A Mathematics podcast by Miklos Toth

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This is a machine-learning-focused Podcast, where we interview people in the field of Artificial Intelligence and discuss interesting technical topics of Machine Learning. In the episodes, we focus on business-related use-cases (especially with Deep Learning ) and we also try to bring some technical white papers to the ground, not forgetting on the way that there are always some people behind the technology, so we try to understand their motivation and drive.

Recent Episodes

What is beyond PoCs? ML project-hurdles you should be prepared to take with Balázs Kégl - 016
Published: December 14, 2020
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Alternative Learning Methods 01 with Dmitry Krotov - 015
Published: September 9, 2020
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"Monkeys with laptops" - the (hi)story of applying AI in real life with Denis Rothman - 014
Published: June 23, 2020
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Conversational AI at Rasa with Vladimir Vlasov - 013
Published: June 10, 2020
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What's real and what's hype? - Decades of ML with Eugene Dubossarsky - 012
Published: May 21, 2020
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Extra: Machine Learning at John Deere with Marco Lemessi - 011
Published: May 12, 2020
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The World’s first Quadruple Kaggle Grandmaster - Abhishek Thakur - 010
Published: May 6, 2020
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Everything is just a wicked graph with Benedek Rozemberczki - 009
Published: April 22, 2020
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Ratings and Marketing Attribution at Foursquare with Max Sklar - 008
Published: March 4, 2020
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MISH Activation Function with Diganta Misra - 007
Published: February 2, 2020
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