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AI & Machine Learning Guide
This guide provides resources and learning paths for getting started with artificial intelligence and machine learning.
Core Technologies
Python
Mathematics
Machine Learning
Learning Platforms
- Coursera - ML/AI specializations
- Fast.ai - Deep learning courses
- Google AI - AI education resources
- deeplearning.ai - Deep learning specializations
Frameworks and Libraries
Machine Learning
- Scikit-learn - Documentation
- XGBoost - Getting Started
- LightGBM - Documentation
Deep Learning
- TensorFlow - Guide
- PyTorch - Tutorials
- Keras - Documentation
Tools and Resources
Development Environments
Computing Resources
Dataset Resources
Best Practices
Data Preprocessing
- Data cleaning
- Feature engineering
- Normalization/Standardization
Model Development
- Cross-validation
- Hyperparameter tuning
- Model evaluation metrics
Production Deployment
- Model serving
- API development
- Monitoring and maintenance