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This webinar covers essential data preparation techniques for AI projects, including ways to visualize raw data, address outliers, detect and manage missing data, select variables fit for purpose, and...
This webinar provides a framework for fair and ethical AI by covering: AI development pipeline and bias mitigation strategies, how to assess data quality and consistency, and tips and tools for developing fair and ethical AI.
We'll continue to review how to use the ScHARe Data Repository to host, manage, and share data with different privacy settings. Topics include: How to upload data How to create data tables and...
This session introduces basic principles of data cleaning and data management in the Python programming language. Designed for beginners, the session covers essential but simple skills that are...
Toward Goal 1: Introduction to the artificial intelligence and cloud computing concepts behind the ScHARe platform Fundamental terminology Cloud architecture, services and providers Data structures...
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