Workshop / Overview

Data-Centric AI is an approach to building machine learning models by focusing more on data instead of code. In this workshop, we are going to learn how to leverage data-centric AI techniques to build good models. 

Workshop / Outcome

The outcome of this workshop is as follows: 
- Understand the importance of quality data on model performance 
- Learn techniques for improving data quality 
- Learn how to use tools such as DVC and IPython Widgets 

Workshop / Difficulty

Intermediate level

Workshop / Prerequisites

The participants should have knowledge of building models using any deep learning framework. Preferably they should also have a basic understanding of computer vision. 

Track / Co-organizers

Ibrahim Yusuf


AMLD Africa 2022 / Workshops

Basics of Reinforcement Learning for industrial learning

With Anant Nawalgaria & Alexander Erfurt

13:00-18:00 November 05Online - Whova

Data Engineering On AWS

09:00-13:00 November 05Online - Whova

Building Transformer-Based Natural Language Processing Applications

With Amal Tarifa

09:00-17:00 November 05Online - Whova

AMLD / Global partners