Podcasts Technology Chai Time Data Science "Anokas": Mikel Bober-Irizar | Becoming The Youngest Kaggle Grandmaster | ML For Japanese Literature | Kaggle

"Anokas": Mikel Bober-Irizar | Becoming The Youngest Kaggle Grandmaster | ML For Japanese Literature | Kaggle

Published: Feb. 9, 2020, 4:36 p.m.

Video version here: https://youtu.be/maR9ibJ2r7g

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In this episode, Sanyam Bhutani interviews the Youngest Kaggle Grandmaster, "Anokas": Mikel Bober-Irizar for the second time.

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In this Interview, they talk all about Mikel's journey into Kaggle, ML and his current life as a CS Student. Note: He's 18 years old at the time of publishing and still the youngest person to achieve the GM Title in Comp Tier at the age of 17, as well as the youngest person to achieve the triple master title.

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They discuss his Kaggle journey, into ML, and ML research where he has published very interesting work and even organised a Kaggle Comp in the intersection of ML & Japanese Literature.

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Links:

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https://hackernoon.com/interview-with-the-youngest-kaggle-grandmaster-mikel-bober-irizar-anokas-17dfd2461070

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https://www.kaggle.com/anokas

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https://www.kaggle.com/c/landmark-retrieval-challenge/discussion/57855

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https://www.kaggle.com/c/kuzushiji-recognition

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https://scholar.google.com/citations?user=UTgURoAAAAAJ

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Follow:

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Mikel Bober-Irizar:

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https://twitter.com/mikb0b?lang=en

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Sanyam Bhutani:

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https://twitter.com/bhutanisanyam1

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About:

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http://chaitimedatascience.com/

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A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.

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You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts.

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If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

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Intro track:

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Flow by LiQWYD https://soundcloud.com/liqwyd