Data Creation and Collection for Artificial Intelligence via Crowdsourcing

Aperçu

Explore the pivotal role of crowdsourcing in the evolution of Artificial Intelligence (AI) and Machine Learning (ML) with the comprehensive course offered by Delft University of Technology on edX. As AI and ML technologies drive forward unprecedented technological revolutions, they simultaneously spark concerns regarding system failures under novel conditions, alongside ethical and societal issues.

The robustness, fairness, and transparency of machine learning models often suffer due to data-related problems. High-quality, diverse, and unbiased data is crucial for training models to recognize comprehensive and fine-grained patterns representative of real-world scenarios.

However, generating such datasets is often a challenging, resource-intensive task, especially when faced with data imbalances or evolving distributions.

This course delves into crowdsourcing as an effective strategy for data collection, creation, and enrichment, aiming to bolster AI system performance and foster broader AI adoption. Participants will gain insights into applying crowdsourcing techniques for acquiring high-quality data, identifying dataset biases, and making informed task design decisions to enhance data quality.

These skills are invaluable for professionals aiming to excel in Data Science, Machine Learning, and the broader AI sector, preparing them for a future at the forefront of technology innovation.

Categorized under Artificial Intelligence Courses, Machine Learning Courses, and Big Data Courses, this training is an essential stepping stone for those seeking to deepen their understanding and practical skills in the field.

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Enseigné par

Ujwal Gadiraju and Jie Yang

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