TalksThe Archival Datathon: ML competition tips

Date
Type
Talk
Language
English
Length
30 minutes

About this talk

How can we approach a Machine Learning competition with agility? What similarities & differences are there with respect to doing Machine Learning in production? By looking at the real experience of participating in a Kaggle competition, we will discuss how to structure work, and what techniques and tools are at the hand of a practicing Data Scientist to ensure making the most out of their time.

Photos (1)

Photo of The Archival Datathon: ML competition tips
In the gallery of Python March Meetup: Cloud Infrastructure & ML Competition tips, with the post it was published in.