12-03, 16:00–16:30 (UTC), Talk Track II
Bad data is likely the largest factor limiting your model's performance. We'll talk about common data errors and how you can fix them today using Galileo. Although the majority of examples used will be in CV and NLP, the same insights apply to other modalities!
Bad data is likely the largest factor limiting your model's performance. We'll talk about common data errors and how you can fix them today using Galileo. Although the majority of examples used will be in CV and NLP, the same insights apply to other modalities!
No previous knowledge expected
Founding ML Engineer at Galileo. Previously MS/BS in CS at Stanford.