Handling Mislabeled Tabular Data to Improve Your XGBoost Model
Author(s): Chris Mauck Originally published on Towards AI. Reduce prediction errors by 70% using data-centric techniques. “Instead of focusing on the code, companies should focus on developing systematic engineering practices for improving data in ways that are reliable, efficient, and systematic. In …
Tools and Techniques I Used for Cleanlab’s Data-centric AI Competition 2023
Author(s): Giorgos Papachristoudis Originally published on Towards AI. I had so much fun participating in Cleanlab’s Data-centric AI (DCAI) competition! You can read the competition announcement here. This event comprised two distinct contests: one focused on text and the other on images. …
Data-centric vs. model-centric
Author(s): Paul Dovidavicius Originally published on Towards AI. Data-Centric AI: Decoding the Hype Data-centric approaches to Model Centric-focus on AI Photo by fauxels from Pexels The database and its impact on the quality of ML-based solutions provide different sessions, and it’s important …
The Elements Of Data-Centric AI
Author(s): Nilesh Raghuvanshi Originally published on Towards AI. Data Science Pursuit of data excellence In my last post, I provided an overview of Data-Centric AI. In this post, we will discuss individual elements of Data-Centric AI. Data-Centric AI is a systematic and …
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