12-01, 10:30–11:00 (UTC), Talk Track I
Data Centric AI is about iterating on data instead of models to improve machine learning predictions. Why is this trend relevant now? Is this yet another hype in data science? Or has something really changed? And most of all -- how is this relevant to you?
Data Centric AI is about iterating on data instead of models to improve machine learning predictions. Why is this trend relevant now? Is this yet another hype in data science? Or has something really changed? And most of all -- how is this relevant to you?
In this talk, we'll cover the benefits of a data-centric AI approach – spoilers: increased performance is one of them! –, and cover practical tips on how you can integrate data-centric principles in your daily work.
Andrew Ng once said "Data is the food for AI" when talking about data-centric AI. If that's the case, this talk will provide you with the recipes.
No previous knowledge expected
Marysia is a Data Scientist and Data Science Educator at GoDataDriven. In addition to this, she is also chair of the PyData Amsterdam committee.