SCHARE Think-A-Thon

In this module, we will cover methods for selecting a model, introduce the simplicity-accuracy balance, and then demonstrate strategies for model evaluation and performance improvement for the best...

This session introduces the Python programming language, its application in Data Science on SCHARE, and free Python resources. Designed for beginners, this session addresses jargon, general concepts...

Equips participants with advanced data handling techniques to support model development by covering data normalization and scaling, feature selection, managing imbalanced data, and demonstrating the...

This Think-a-Thon session covers essential data preparation techniques for AI projects including visualizing raw data, address outliers, detecting and managing missing data, selecting variables fit...

This Think-a-Thon will prepare participants to design an AI project by covering topics such as framing meaningful questions to guide data collection and analysis, identifying the considerations for...

This webinar provides a framework for fair and ethical AI by covering AI development pipeline and error reduction strategies, how to assess data quality and consistency, and tips and tools for...

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...

The ScHARe GDE Repository, together with the ScHARe/PhenX Core Common Data Elements, will help researchers to accelerate data collection and analysis for population sciences research. At this webinar...

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...

Toward Goal 1: An inside look at ScHARe’s Terra instance: general introduction and features How to create and configure an account How to create a workspace and set the appropriate permissions How to...