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

Video version here: https://youtu.be/maR9ibJ2r7g Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews the Youngest Kaggle Grandmaster, "Anokas": Mikel Bober-Irizar for the second time. 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. 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. Links: https://hackernoon.com/interview-with-the-youngest-kaggle-grandmaster-mikel-bober-irizar-anokas-17dfd2461070 https://www.kaggle.com/anokas https://www.kaggle.com/c/landmark-retrieval-challenge/discussion/57855 https://www.kaggle.com/c/kuzushiji-recognition https://scholar.google.com/citations?user=UTgURoAAAAAJ Follow: Mikel Bober-Irizar: https://twitter.com/mikb0b?lang=en Sanyam Bhutani: https://twitter.com/bhutanisanyam1 About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every Sunday, Thursday available as Video, Podcast, and blogposts. If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

There are no comments yet.

Please log in to write the first comment.