🧭 Learning Roadmap 💡 Use filters and search to find topics by difficulty level or healthcare focus. Click on learning path steps to highlight related topics.

🎯 How to Use This Roadmap

This interactive mindmap helps you navigate your ML learning journey. Here's how to make the most of it:

• Search: Use the search box to find specific topics or keywords
• Filter by Level: Click filter buttons to show only beginner, intermediate, or advanced topics
• Healthcare Focus: Use the "Healthcare Focus" filter to see health-specific content
• Learning Paths: Click on the numbered steps to highlight related topics
• Color Coding: Each topic has a color indicating its category (see legend)

🎨 Understanding the Colors

• Red: Central hub and knowledge assessment
• Teal: Mathematical foundations and dimensionality reduction
• Blue: ML algorithms and optimization
• Green: Model evaluation, validation, and ensemble methods
• Yellow: Neural networks and deep learning
• Pink: Healthcare and epidemiology topics

📚 Recommended Learning Paths

• Complete Beginner: Mathematical Foundations → Core ML Concepts → Model Evaluation
• Some ML Experience: Cross-Validation → Hyperparameter Tuning → Ensemble Methods
• ML Practitioner: Neural Networks → Advanced Topics → Healthcare Applications
• Healthcare Focus: Use the Healthcare filter to see all health-related content

🔍 Navigation Tips

• Topic Cards: Click on any topic card to see related learning materials
• Status Indicators: Some topics show "Under Development" - these are being refined
• Mobile View: On mobile, the legend moves to the top for better visibility
• Search Tips: Try searching for terms like "neural", "healthcare", "validation", or "optimization"

📞 Need More Help?

For additional support or questions about the course content:

• Course Instructor: Prof. Gennady Roshchupkin
• Course: Machine Learning for Health Research, Erasmus MC
• Main Index: Return to the main page for a different view of all content