Interview w Mark Landry | Data Science, Kaggle, H2O.ai | AutoML

Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x

Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascience

In this episode, Sanyam Bhutani interviews legendary Kaggle GrandMaster: Mark Landry.

They talk all about Mark's journey into machine learning:

How he got interested in machine learning? How did he discover Kaggle? His addiction for Kaggle? How his approach on Kaggle has evolved over all of these years that he's been active on the platform?

They talked about his journey at h2o: he's been at h2o.ai for a few years now. They also talk about auto ML, we reveal interesting story: AutoML at h2o.ai was originally called AutoMarkLandry. And there's a lot of discussion around data science on and off Kaggle, how to approach Kaggle or data science problems.

This one is all about data science, Kaggle, and h2o.ai but it's true to the three words, they talk all about these three words and Mark's journey in all of these three.

Follow:

Mark Landry:

https://twitter.com/mark_a_landry

https://www.linkedin.com/in/mark-landry-78b863a/

https://www.kaggle.com/mlandry

Sanyam Bhutani:

https://twitter.com/bhutanisanyam1

Blog: sanyambhutani.com

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 available as Video, Podcast, and blogposts.

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