Learning Resources

Access tutorials, datasets, and tools to help you succeed in our AI competitions.

Getting Started with Low-Data AI

Article

Learn the fundamentals of training AI models with limited data.

Beginner

15 min read

By Dr. Sarah Chen

Data Augmentation Techniques

Video

Explore methods to artificially expand your limited dataset for better model performance.

Intermediate

22 min

By Prof. Michael Johnson

Transfer Learning for Local Problems

Tutorial

How to adapt pre-trained models to solve specific local challenges.

Intermediate

45 min

By Dr. Emily Rodriguez

Edge Computing Optimization

Workshop

Techniques to optimize AI models for deployment on edge devices.

Advanced

1.5 hours

By Prof. David Kim

Additional Resources

Weekly webinars with AI experts discussing techniques for low-data and local computation.

Starter code templates for various AI challenges to help you get started quickly.

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